| File(s) | Type | Description | Action |
|---|---|---|---|
913620_v1_P_haloplanktis_BetaT_ChemotaxisData.csv (897.80 KB) | Comma Separated Values (.csv) | Primary data file for dataset ID 913620, version 1 | |
| Supplemental File(s) | Type | Description | Action |
Filtrate_Chemotaxis_Analysis.zip (8.95 KB) | MATLAB Programming Script (.m) | Each file contains more description of usage, input, and output in the header of each m-file. Below is a brief description of the purpose of each function. --- "Chemotaxis_Analysis.m" contains setup and parameters, you should only need to change numbers/details here. --- "cntrd.m" contains function: cntrd(im,mx,sz,interactive) PURPOSE: calculates the centroid of bright spots to sub-pixel accuracy. Inspired by Grier & Crocker's feature for IDL, but greatly simplified and optimized for matlab. --- pkfnd.m contains function: pkfnd(im,th,sz) PURPOSE: finds local maxima in an image to pixel level accuracy. This provides a rough guess of particle centers to be used by cntrd.m. Inspired by the lmx subroutine of Grier and Crocker's feature.pro --- "bpass.m" contains function: bpass(image_array,lnoise,lobject,threshold) PURPOSE: Implements a real-space bandpass filter that suppresses pixel noise and long-wavelength image variations while retaining information of a characteristic size. --- | |
fcm.countdata_synwh8102_s-ssm5.csv (21.60 KB) | Comma Separated Values (.csv) |
Files
Filename: 913620_v1_P_haloplanktis_BetaT_ChemotaxisData.csv (897.80 KB)
Type: Comma Separated Values (.csv)
Description: Primary data file for dataset ID 913620, version 1
Type: Comma Separated Values (.csv)
Description: Primary data file for dataset ID 913620, version 1
Supplemental Files
Filename: Filtrate_Chemotaxis_Analysis.zip (8.95 KB)
Type: MATLAB Programming Script (.m)
Description: Each file contains more description of usage, input, and output in the header of each m-file. Below is a brief description of the purpose of each function. --- "Chemotaxis_Analysis.m" contains setup and parameters, you should only need to change numbers/details here. --- "cntrd.m" contains function: cntrd(im,mx,sz,interactive) PURPOSE: calculates the centroid of bright spots to sub-pixel accuracy. Inspired by Grier & Crocker's feature for IDL, but greatly simplified and optimized for matlab. --- pkfnd.m contains function: pkfnd(im,th,sz) PURPOSE: finds local maxima in an image to pixel level accuracy. This provides a rough guess of particle centers to be used by cntrd.m. Inspired by the lmx subroutine of Grier and Crocker's feature.pro --- "bpass.m" contains function: bpass(image_array,lnoise,lobject,threshold) PURPOSE: Implements a real-space bandpass filter that suppresses pixel noise and long-wavelength image variations while retaining information of a characteristic size. ---
Type: MATLAB Programming Script (.m)
Description: Each file contains more description of usage, input, and output in the header of each m-file. Below is a brief description of the purpose of each function. --- "Chemotaxis_Analysis.m" contains setup and parameters, you should only need to change numbers/details here. --- "cntrd.m" contains function: cntrd(im,mx,sz,interactive) PURPOSE: calculates the centroid of bright spots to sub-pixel accuracy. Inspired by Grier & Crocker's feature for IDL, but greatly simplified and optimized for matlab. --- pkfnd.m contains function: pkfnd(im,th,sz) PURPOSE: finds local maxima in an image to pixel level accuracy. This provides a rough guess of particle centers to be used by cntrd.m. Inspired by the lmx subroutine of Grier and Crocker's feature.pro --- "bpass.m" contains function: bpass(image_array,lnoise,lobject,threshold) PURPOSE: Implements a real-space bandpass filter that suppresses pixel noise and long-wavelength image variations while retaining information of a characteristic size. ---
Filename: fcm.countdata_synwh8102_s-ssm5.csv (21.60 KB)
Type: Comma Separated Values (.csv)
Description:
Type: Comma Separated Values (.csv)
Description: