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spot_assay_processor.nb
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(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
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Notebook[{
Cell[TextData[{
"\t\t\t\t\t\t\t\t\t\t\t\t ",
StyleBox["Copyright \[Copyright] 2016, Marc van Dijk, VU University \
Amsterdam, The Netherlands",
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Cell[TextData[StyleBox["Spot Assay Processor", "Title"]], "Text",
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Cell["\<\
The Mathematica \[OpenCurlyDoubleQuote]Spot Assay Processor\
\[CloseCurlyDoubleQuote] notebook is designed to quantify cell growth on \
solid media plates incubated under the influence of different environmental \
factors. It does so by measuring the size of the colonies formed by the \
growing cells in pictures taken from the solid media plate with colonies at \
regular intervals. The colonies are laid out on a grid using a \
\[OpenCurlyDoubleQuote]spotting\[CloseCurlyDoubleQuote] technique commonly \
having rows for the different strains or mutants of the organisms under study \
and a dilution series as columns.
The notebook processes these images in the following successive steps:\
\>", "Text",
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Cell["\<\
Detect colonies on the background using a sequence of image processing \
techniques:\
\>", "Item",
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"Tophat Transform filter to equalize possible uneven illumination in the \
image. Uses ",
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Cell["\<\
Threshold filter to better define colonies and boundaries between colony and \
medium. This filter uses cluster variance maximization \
(Otsu\[CloseCurlyQuote]s algorithm) to perform automatic clustering-based \
image thresholding on grayscale images.\
\>", "Subitem",
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Binarization to convert the pixels of the detected colonies to 1 (white) and \
background pixels to 0 (black).\
\>", "Subitem",
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"Isolate the colonies in the image by partitioning the image into an equally \
spaced grid according to the ",
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ensure that each partition is of equal pixels size and compensate for minor \
misalignment of colonies in the grid cells. The latter prevents the edges of \
one colony to flow over into the grid cell of another colony leading to false \
positives in colony pixel counts."
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Count the 1\[CloseCurlyQuote]s in the binary matrices after partitioning as a \
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\>", "Item",
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Cell["\<\
In case of a reference plate, the pixel counts in the assay are normalized by \
the pixel counts in the reference. This may lead the less pixels than the \
reference image in which case the organism/cell growth rate is reduced \
(sensitivity) under influence of the environmental factor, no effect or more \
pixels in which case colony growth in increased under influence of the \
environmental factor. This notebook focuses on sensitivity and therefor all \
pixel counts higher than the control are set to equal the control (growth \
cannot be higher than the control).\
\>", "Item",
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Cell["\<\
In case of a control image, a final value for sensitivity is calculated by \
averaging the difference in growth over the dilution series.\
\>", "Item",
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Cell[TextData[{
"The interactive notebook will ask you to define one or multiple image files \
to process and optionally a reference image using a common system file \
selection dialog. You can test the script by using the test images shipped \
with the software (condition-x.png and the reference image control.png). \
Mathematica will handle most common image file formats automatically.\n\nOf \
the 4 program parameters you can set (",
StyleBox["imagegrid",
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", ",
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" and ",
StyleBox["tophatr",
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"), the ",
StyleBox["imagegrid",
FontSlant->"Italic"],
" needs to match the grid layout of the colonies in your image as columns x \
rows. For the test images you need to set this parameter to {4, 12}. Please \
note that all the images you process in one run of the script need to have \
the same grid layout.\nIn case one is only interested in measuring \
sensitivity in colony growth that set the ",
StyleBox["onlysensitive",
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" parameter to true. All growth rates will be relative to the control where \
a test can never grow more than the control. \n\nThe program outputs a bar \
graph with a sensitivity value between 0 and 1 for every row in each of the \
images you supplied. In addition the sensitivity data for all images are \
exported to an Excel .xls file names \[OpenCurlyDoubleQuote]spottingdata.xls\
\[CloseCurlyDoubleQuote] by default in the same location as where the \
spot_assay_processor.nb notebook is located. The path to this file is defined \
in the ",
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