Image data taken by an Imaging Flow CytoBot (IFCB) over Palmer Deep Canyon in February and March 2020.

Website: https://www.bco-dmo.org/dataset/865002
Data Type: Other Field Results
Version: 1
Version Date: 2021-12-07

Project
» Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots (Project SWARM)
ContributorsAffiliationRole
Oliver, MatthewUniversity of DelawarePrincipal Investigator
Kohut, JoshuaState University of New JerseyCo-Principal Investigator
Hudson, KatherineUniversity of DelawareContact
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Image data taken by an Imaging Flow CytoBot (IFCB) over Palmer Deep Canyon in February and March 2020.


Coverage

Spatial Extent: N:-64.8423 E:-64.1117 S:-64.9321 W:-64.2717
Temporal Extent: 2020-02-08 - 2020-03-07

Methods & Sampling

The IFCB sampling occurred on February 8 and March 7 2020 at three stations over Palmer Deep Canyon (see Hudson et al., 2021 for station locations). Water samples for the IFCB were collected with a SeaBird SBE-19 Plus V2 CTD and 6 Niskin bottles, which fired at 5, 35, 75, 100, 150, and 200 m on the upcasts.


Data Processing Description

Water from each sampling depth was collected in dark, triple rinsed 50 mL Falcon tubes and kept dark and cold until processed. Images were collected with the IFCB using the scattering and chlorophyll sensors and sensitivities were increased to maximize photo collect without producing high numbers of empty images, following the Palmer Long Term Ecological Research (LTER) program protocols.

Blob and feature extraction for the images were performed using the MATLAB IFCB Toolbox (Sosik, et al., 2016). All cells with an equivalent diameter of 0 were removed from the dataset.

Live and detrital cells were classified using chlorophyll distributions. Cells with chlorophyll greater than the 77% quantile were classified as live cells.

Data header description: Columns  1-6 contain image identifying data. The remainder of this dataset is a combination of the IFCB header file (.adc) and the feature extraction from the MATLAB IFCB Toolbox. Columns 7 – 243 include the feature data from the IFCB MATLAB Toolbox. Column heading information can be found here: Sosik, H.M. 2017 - Chapter Feature File Documentation. Columns 244-267 are the header information from each image. Documentation on the header information can be found on pages C-2 and C-3 of the IFCB manual (McLane Research Laboratories (2020)). Column 268 (‘id_tag’) is a binary (live cell or detritus) tag given to the image based on the data.


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Data Files

File
ifcb.csv
(Comma Separated Values (.csv), 135.73 MB)
MD5:9ba6b58ac0a79471efd8fa5b3f5cacdf
Primary data file for dataset ID 865002

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Related Publications

Hudson, K., Oliver, M. J., Kohut, J., Dinniman, M. S., Klinck, J. M., Moffat, C., … Fraser, W. (2021). A Recirculating Eddy Promotes Subsurface Particle Retention in an Antarctic Biological Hotspot. Journal of Geophysical Research: Oceans, 126(11). doi:10.1029/2021jc017304 https://doi.org/10.1029/2021JC017304
Results
McLane Research Laboratories, Inc. (2020) Imaging FlowCytobot User Manual Retrieved from https://mclanelabs.com/wp-content/uploads/2020/05/McLane-IFCB-Manual.Rev_.20.E.05.pdf
Methods
Sosik, H. M., Futrelle, J., Brownlee, E. F., Peacock, E., Crockford, T., & Olson, R. J. (2016). Hsosik/Ifcb-Analysis: Ifcb-Analysis Software System, Initial Formal Release At V2 Feature Stage. Zenodo. https://doi.org/10.5281/ZENODO.153978 https://doi.org/10.5281/zenodo.153978
Software
Sosik, H.M. (2017) ifcb- analysis wiki https://github.com/hsosik/ifcb-analysis/wiki
Methods

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Related Datasets

IsRelatedTo
Oliver, M., Kohut, J., Hudson, K. (2021) CTD casts associated with IFCB sampling events taken at Palmer Deep Station on February 8 and March 7 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-12-03 doi:10.26008/1912/bco-dmo.865030.1 [view at BCO-DMO]
Relationship Description: Image Flow CytoBot data taken at the same time.

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Parameters

ParameterDescriptionUnits
date

Date of sample

unitless
station

Name of station sampled

unitless
latitude

Latitude of station

Decimal degrees
longitude

Longitude of station

Decimal degrees
depth

Depth of sample

Meters
file_ID

Source file of sample

unitless
roi_number

Region of interest (ROI) number; consecutive from original data acquisition;NA

count (unitless)
Area

cross-sectional area of largest contiguous blob in ROI;MATLAB regionprops function

squared pixels
Biovolume

volume estimate for the largest blob; assuming cross-sections in the third dimension are locally circular (solid of revolution for simple shapes; distance map based for complex shapes);Moberg and Sosik 2012; doi: 10.4319/lom.2012.10.278

cibed pixels
BoundingBox_xwidth

dimension along the x-axis of the smallest rectangle containing the largest blob;MATLAB regionprops function

pixels
BoundingBox_ywidth

dimension along the y-axis of the smallest rectangle containing the largest blob;MATLAB regionprops function

pixels
ConvexArea

area of the smallest convex polygon that can contain the largest blob (area of the convex hull);MATLAB regionprops function

squared pixels
ConvexPerimeter

perimeter of the smallest convex polygon that can contain the largest blob;MATLAB regionprops function; computed from ConvexHull

pixels
Eccentricity

eccentricity of the ellipse that has the same second-moments as the largest blob (0 = circle; 1 = line segment);MATLAB regionprops function

unitless
EquivDiameter

diameter of circle with same area as largest blob;MATLAB regionprops function

pixels
Extent

area divided by the area of the bounding box;MATLAB regionprops function

pixels
FeretDiameter

INCORRECTLY computed in v2; maximum distance between any two points along the boundary of the largest blob ("caliper diameter");MATLAB regionprops function; computed from ConvexHull

pixels
H180

Hausdorff distance (measure of how far two subsets of a space are from each other) between the largest blob and itself after rotation by 180 degrees along the major axis;pixels;HausdorffDist.m by Z. Danziger; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/26738-hausdorff-dis...

pixels
H90

Hausdorff distance (measure of how far two subsets of a space are from each other) between the largest blob and itself after rotation by 90 degrees along the major axis;pixels;HausdorffDist.m by Z. Danziger; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/26738-hausdorff-dis...

pixels
Hflip

Hausdorff distance (measure of how far two subsets of a space are from each other) between the largest blob and itself after reflection across the major axis;HausdorffDist.m by Z. Danziger; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/26738-hausdorff-dis...

pixels
MajorAxisLength

length of the major axis of the ellipse that has the same normalized second central moment as the region;MATLAB regionprops function

pixels
MinorAxisLength

length of the minor axis of the ellipse that has the same normalized second central moment as the region;MATLAB regionprops function

pixels
Orientation

angle between the x-axis and the major axis of the ellipse that has the same second-moments as the blob;MATLAB regionprops function

degrees
Perimeter

distance around the boundary of the largest blob;MATLAB regionprops function

pixels
RWcenter2total_powerratio

ratio of energy near the center to the total energy; see Guo et al., 2021 (https://doi.org/10.1016/j.jher.2021.03.002)

unitless
RWhalfpowerintegral

normalized total energy; see Guo et al., 2021 (https://doi.org/10.1016/j.jher.2021.03.002)

unitless
Solidity

proportion of the pixels in its convex hull that are also in the largest blob (Area/ConvexArea);dimension- less;MATLAB regionprops function

unitless
moment_invariant1

first moment invariant (invariant to scale; translation; and rotation) for shape indication;DIPUM function invmoments; http://www.imageprocessingplace.com/;DIPUM function invmoments; D27http://www.imageprocessingplace.com/D70

unitless
moment_invariant2

second moment invariant (invariant to scale; translation; and rotation) for shape indication; computed for the largest blob;DIPUM function invmoments; http://www.imageprocessingplace.com/

unitless
moment_invariant3

third moment invariant (invariant to scale; translation; and rotation) for shape indication; computed for the largest blob;DIPUM function invmoments; http://www.imageprocessingplace.com/

unitless
moment_invariant4

fourth moment invariant (invariant to scale; translation; and rotation) for shape indication; computed for the largest blob;DIPUM function invmoments; http://www.imageprocessingplace.com/

unitless
moment_invariant5

fifth moment invariant (invariant to scale; translation; and rotation) for shape indication; computed for the largest blob;DIPUM function invmoments; http://www.imageprocessingplace.com/

unitless
moment_invariant6

sixth moment invariant (invariant to scale; translation; and rotation) for shape indication; computed for the largest blob

unitless
moment_invariant7

seventh moment invariant (invariant to scale; translation; and rotation) for shape indication; computed for the largest blob

unitless
numBlobs

number of separate connected blobs in ROI;NA

unitless
shapehist_kurtosis_normEqD

kurtosis ('tailedness') of distributions of normalized Equilvalent Diameters

unitless
shapehist_mean_normEqD

mean of normalized Equilvalent Diameters

pixels
shapehist_median_normEqD

median of normalized Equilvalent Diameters

pixels
shapehist_mode_normEqD

mode of normalized Equilvalent Diameters

pixels
shapehist_skewness_normEqD

skewness of normalized Equilvalent Diameters

unitless
summedArea

Area summed for all blobs;squared pixels;MATLAB regionprops function

squared pixels
summedBiovolume

Biovolume summed for all blobs;cubed pixels;MATLAB regionprops function

cibed pixels
summedConvexArea

ConvexArea summed for all blobs;squared pixels;MATLAB regionprops function

squared pixels
summedConvexPerimeter

ConvexPerimeter summed for all blobs;pixels;MATLAB regionprops function

pixels
summedFeretDiameter

INCORRECTLY computed in v2; FeretDiameter summed for all+ blobs;pixels;MATLAB regionprops function; computed from ConvexHull

pixels
summedMajorAxisLength

MajorAxisLength summed for all blobs;pixels;MATLAB regionprops function

pixels
summedMinorAxisLength

MinorAxisLength summed for all blobs;pixels;MATLAB regionprops function

pixels
summedPerimeter

Perimeter summed for all blobs;pixels;MATLAB regionprops function

pixels
texture_average_contrast

Average contrast of pixel gray levels inside blob after brightness adjustment so that 1% of pixels are saturated high and low;;MATLAB imadjust function; DIPUM statxture function; http://www.imageprocessingplace.com/

pixels
texture_average_gray_level

Average gray level of pixels inside blob after brightness adjustment so that 1% of pixels are saturated high and low;NA;MATLAB imadjust function; DIPUM statxture function; http://www.imageprocessingplace.com/;;

pixels
texture_entropy

Entropy (measure of randomness) of pixel gray levels inside blob after brightness adjustment so that 1% of pixels are saturated high and low;;MATLAB imadjust function; DIPUM statxture function; http://www.imageprocessingplace.com/;;

pixels
texture_smoothness

Smoothness measure of pixel gray levels inside blob after brightness adjustment so that 1% of pixels are saturated high and low;;MATLAB imadjust function; DIPUM statxture function; http://www.imageprocessingplace.com/;;

squared pixels
texture_third_moment

Normalized third moment pixel gray levels inside blob after brightness adjustment so that 1% of pixels are saturated high and low;;MATLAB imadjust function; DIPUM statxture function; http://www.imageprocessingplace.com/;;

unitless
texture_uniformity

Uniformity measure of pixel gray levels inside blob after brightness adjustment so that 1% of pixels are saturated high and low;;MATLAB imadjust function; DIPUM statxture function; http://www.imageprocessingplace.com/;;

squared pixels
RotatedArea

Area of largest blob after rotation to align major axis along x-axis;squared pixels;MATLAB regionprops function;;;

squared pixels
RotatedBoundingBox_xwidth

dimension along the x-axis of the smallest rectangle containing the largest blob after rotation to align major axis along x-axis;pixels;MATLAB regionprops function;;;

pixels
RotatedBoundingBox_ywidth

dimension along the y-axis of the smallest rectangle containing the largest blob after rotation to align major axis along x-axis;pixels;MATLAB regionprops function;;;

pixels
Wedge01

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge02

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge03

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge04

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge05

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge06

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge07

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge08

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge09

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge10

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge11

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge12

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge13

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge14

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge15

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge16

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge17

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge18

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge19

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge20

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge21

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge22

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge23

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge24

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge25

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge26

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge27

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge28

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge29

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge30

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge31

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge32

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge33

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge34

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge35

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge36

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge37

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge38

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge39

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge40

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge41

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge42

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge43

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge44

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge45

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge46

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge47

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Wedge48

relative power in sequential radial wedge in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring01

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring02

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring03

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring04

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring05

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring06

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring07

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring08

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring09

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring10

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring11

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring12

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring13

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring14

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring15

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring16

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring17

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring18

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring19

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring20

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring21

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring22

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring23

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring24

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring25

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring26

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring27

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring28

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring29

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring30

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring31

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring32

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring33

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring34

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring35

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring36

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring37

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring38

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring39

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring40

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring41

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring42

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring43

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring44

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring45

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring46

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring47

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring48

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring49

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
Ring50

relative power in sequential concentric ring in frequency space (2-D FFT) for blob image;modified version of diffraction pattern sampling method developed by George; N. and S.G. Wang (1994) Applied Optics; 33: 3127-3134

unitless
HOG01

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG02

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG03

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG04

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG05

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG06

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG07

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG08

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG09

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG10

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG11

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG12

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG13

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG14

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG15

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG16

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG17

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG18

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG19

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG20

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG21

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG22

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG23

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG24

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG25

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG26

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG27

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG28

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG29

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG30

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG31

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG32

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG33

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG34

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG35

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG36

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG37

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG38

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG39

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG40

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG41

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG42

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG43

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG44

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG45

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG46

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG47

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG48

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG49

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG50

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG51

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG52

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG53

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG54

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG55

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG56

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG57

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG58

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG59

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG60

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG61

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG62

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG63

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG64

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG65

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG66

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG67

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG68

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG69

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG70

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG71

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG72

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG73

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG74

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG75

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG76

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG77

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG78

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG79

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG80

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
HOG81

sequential element of Histogram of Oriented Gradients (shape feature descriptors) for ROI;;HOG.m by O. Ludwig; MathWorks File Exchange; https://www.mathworks.com/matlabcentral/fileexchange/28689-hog-descripto...

unitless
Area_over_PerimeterSquared

Area divided by squared Perimeter;;computed from MATLAB regionprops function output;;;

unitless (squared pixels/squared pixels)
Area_over_Perimeter

Area divided by Perimeter;;computed from MATLAB regionprops function output;;;

pixels (squared pixels/pixels)
H90_over_Hflip

H90 divided by Hflip;;computed from HausdorffDist.m output;;;

unitless
H90_over_H180

H90 divided by H180;;computed from HausdorffDist.m output;;;

unitless
Hflip_over_H180

Hflip divided by H180;;computed from HausdorffDist.m output;;;

unitless
summedConvexPerimeter_over_Perimeter

summedConvexPerimeter _over_Perimeter

unitless
rotated_BoundingBox_solidity

rotated_BoundingBox _solidity

squared pixels
ADC_time

Elapsed time (in seconds) from the start of the sample run to the current trigger.

seconds
PMTA

Integrated output (in volts) of PMTA for the current trigger pulse.

volts
PMTB

Integrated output (in volts) of PMTB for the current trigger pulse.

volts
PMTC

Integrated output (in volts) of PMTC for the current trigger pulse.

volts
PMTD

Integrated output (in volts) of PMTD for the current trigger pulse.

volts
peakA

Peak output (in volts) of PMTA for the current trigger pulse.

volts
peakB

Peak output (in volts) of PMTB for the current trigger pulse.

volts
peakC

Peak output (in volts) of PMTC for the current trigger pulse.

volts
peakD

Peak output (in volts) of PMTD for the current trigger pulse.

volts
time_of_flight

Duration (in us) of the entire pulse for which a trigger signal is generated. (Note that this includes pulse stretching as set by user in the expert tab).

us (microseconds)
grabtimestart

Elapsed time (in seconds) from the start of the sample run to the current trigger. (Note that this is redundant with ADC_time).

seconds
grabtimeend

Elapsed time (in seconds) from the start of the sample run to the completion of image acquisition for the current trigger.

seconds
ROIx

‘x’ position (in pixels) of the upper left corner of the bounding box for the current image.

pixels
ROIy

‘y’ position (in pixels) of the upper left corner of the bounding box for the current image.

pixels
ROIwidth

Width (in pixels) of the bounding box for the current image.

pixels
ROIheight

Height (in pixels) of the bounding box for the current image.

pixels
start_byte

Integer value for the offset in the ROI array for the current image.

unitless
comparator_out

Placeholder for old revision hardware

unitless
STartPoint

Placeholder for old revision hardware

unitless
SignalLength

Placeholder for old revision hardware

unitless
status

Status flag for the state of the ROI array.

unitless
runTime

Accumulated time (in seconds) for which sample has been analyzed.

seconds
inhibitTime

Accumulated time (in seconds) for which sample has not been analyzed (i.e.

seconds
pmt_ratio

ratio of PMTA/PMTB

unitless
id_tag

binary (live cell or detritus) tag given to the image based on the data

unitless


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Instruments

Dataset-specific Instrument Name
Imaging Flow CytoBot (IFCB)
Generic Instrument Name
Imaging FlowCytobot
Dataset-specific Description
Imaging Flow CytoBot (IFCB), McLane Labs, Falmouth MA, SN 116
Generic Instrument Description
The Imaging FlowCytobot (IFCB) is an in-situ automated submersible imaging flow cytometer that generates images of particles in-flow taken from the aquatic environment. https://mclanelabs.com/imaging-flowcytobot/


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Project Information

Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots (Project SWARM)

Coverage: West Antarctic Peninsula


NSF Award Abstract:
Undersea canyons play disproportionately important roles as oceanic biological hotspots and are critical for our understanding of many coastal ecosystems. Canyon-associated biological hotspots have persisted for thousands of years Along the Western Antarctic Peninsula, despite significant climate variability. Observations of currents over Palmer Deep canyon, a representative hotspot along the Western Antarctic Peninsula, indicate that surface phytoplankton blooms enter and exit the local hotspot on scales of ~1-2 days. This time of residence is in conflict with the prevailing idea that canyon associated hotspots are primarily maintained by phytoplankton that are locally grown in association with these features by the upwelling of deep waters rich with nutrients that fuel the phytoplankton growth. Instead, the implication is that horizontal ocean circulation is likely more important to maintaining these biological hotspots than local upwelling through its physical concentrating effects. This project seeks to better resolve the factors that create and maintain focused areas of biological activity at canyons along the Western Antarctic Peninsula and create local foraging areas for marine mammals and birds. The project focus is in the analysis of the ocean transport and concentration mechanisms that sustain these biological hotspots, connecting oceanography to phytoplankton and krill, up through the food web to one of the resident predators, penguins. In addition, the research will engage with teachers from school districts serving underrepresented and underserved students by integrating the instructors and their students completely with the science team. Students will conduct their own research with the same data over the same time as researchers on the project. Revealing the fundamental mechanisms that sustain these known hotspots will significantly advance our understanding of the observed connection between submarine canyons and persistent penguin population hotspots over ecological time, and provide a new model for how Antarctic hotspots function.

To understand the physical mechanisms that support persistent hotspots along the Western Antarctic Peninsula (WAP), this project will integrate a modeling and field program that will target the processes responsible for transporting and concentrating phytoplankton and krill biomass to known penguin foraging locations. Within the Palmer Deep canyon, a representative hotspot, the team will deploy a High Frequency Radar (HFR) coastal surface current mapping network, uniquely equipped to identify the eddies and frontal regions that concentrate phytoplankton and krill. The field program, centered on surface features identified by the HFR, will include (i) a coordinated fleet of gliders to survey hydrography, chlorophyll fluorescence, optical backscatter, and active acoustics at the scale of the targeted convergent features; (ii) precise penguin tracking with GPS-linked satellite telemetry and time-depth recorders (TDRs); (iii) and weekly small boat surveys that adaptively target and track convergent features to measure phytoplankton, krill, and hydrography. A high resolution physical model will generalize our field measurements to other known hotspots along the WAP through simulation and determine which physical mechanisms lead to the maintenance of these hotspots. The project will also engage educators, students, and members of the general public in Antarctic research and data analysis with an education program that will advance teaching and learning as well as broadening participation of under-represented groups. This engagement includes professional development workshops, live connections to the public and classrooms, student research symposia, and program evaluation. Together the integrated research and engagement will advance our understanding of the role regional transport pathways and local depth dependent concentrating physical mechanisms play in sustaining these biological hotspots.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.



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Funding

Funding SourceAward
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP)
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP)
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP)
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP)
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP)
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP)

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