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slideAppend
slideAppend
is designed to collect results and append them in a CSV file. It processes input CSV files, which are expected to be gzipped. The script creates a log file and organizes data into folders for masks and tile-crossed images. Additionally, it generates a readme
file with important information.
Two versions are available:
-
slideAppend.sh
will concatenate the standard.csv
-output. -
slideAppendGCT.sh
will concatenate the.GCT
-output.
Usage:
bash slideAppend.sh [ARG1] [ARG2] [ARG3] [ARG4]
Example usage:
bash slideAppend.sh FIBRIN AE TIF Image.csv.gz
Argument(s):
-
ARG1
- Name of the stain as it appears in the filenames (e.g.,
FIBRIN
). Required.
- Name of the stain as it appears in the filenames (e.g.,
-
ARG2
- Study type of the analysis (e.g.,
AE
orAAA
). Required.
- Study type of the analysis (e.g.,
-
ARG3
- Image file type (e.g.,
TIF
,NDPI
). Required.
- Image file type (e.g.,
-
ARG4
- The filename containing results (e.g.,
Image.csv.gz
). Required.
- The filename containing results (e.g.,
Licence. The MIT License (MIT): http://opensource.org/licenses/MIT.
Copyright (c) 2014-2024, Bas G.L. Nelissen & Sander W. van der Laan, UMC Utrecht, Utrecht, the Netherlands.
Introduction
General instructions
slide2Tiles
slideAppend.sh
slideAppendGCT.sh
slideConvert
slideDirectory
slideDupIdentify.py
slideEMask
slideEntropySegmentation.py
slideExtract.py
slideExtractTiles.py
slideInfo
slideInfo.py
slideJobChecker
slideLookup
slideMacro
slideMacro.py
slideMask
slideMoveNewWSI.py
slideNormalize
slideRename
slideRename.py
slideThumb
slideThumb.py
slideQuantify_v1
slideQuantify_v1_1_expresshist_mask.sh
slideQuantify_v1_2_expresshist_tile.sh
slideQuantify_v1_3_tile_normalizing.sh
slideQuantify_v1_4_cellprofiler.sh
slideQuantify_v1_5_wrapup.sh
slideQuantify_v2
slideQuantify_v2_1_entropy_segmentation.sh
slideQuantify_v2_2_extract_tiles.sh
slideQuantify_v2_3_tile_normalizing.sh
slideQuantify_v2_4_cellprofiler.sh
slideQuantify_v2_5_wrapup.sh
slideQuantifyOSX
slideQuantify_cellprofiler.sh
slideQuantify_mask.sh
slideQuantify_normalizing.sh
slideQuantify_tiling.sh
slideQuantify_wrapup.sh
Conda version (default/preferred)
Homebrew version
Rocky 8 Conda version (default/preferred)
Ubuntu 16.04 LTS
Ubuntu 12.04
CentOS7 Conda version with modules
Administrator version