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a script to process yeast plate image into figures

Project description

Spotifier

This script to covert pre-processed plates image into figures.

Options

$ spotifier.py -h
usage: spotifier.py [-h] [-v] [-d] [--dont-align] [-x X] [-y Y]
                    [--trim-rms TRIM_RMS] [--size SIZE] [-a]
                    map file [file ...]

install to work on psd files: psd-tools3

positional arguments:
  map                  map
  file                 pre-processed image(s)

optional arguments:
  -h, --help           show this help message and exit
  -v, --verbose        be verbose
  -d, --debug          be even more verbose
  --dont-align         don't align dots
  -x X
  -y Y
  --trim-rms TRIM_RMS
  --size SIZE
  -a, --dont-annotate

Fig. -t, trim background to get nicely formatted dots.

Prepare image

Open the image:

Image -> Adjustments -> Black & white

Inverse color (cmd+i)

Adjust Levels (cmd+l), select black backgroud with the black pippette and white for the white pippette.

Crop image and Edit -> Image Rotation -> Flip Canvas Horizontal.

Adjust the image to the template

Open template.psd and drag and drop plate photo

Lower opacity for the imported image, to around 30%, to see the template in the background.

Use Move tool and Free transform fit the image to the template.

Use Move tool and Free transform to move "Rectangle" to cover the plate.

Switch off the Backgroud layer, set Opacity to 100.

Save as a PSD (or jpeg) file, e.g., s02_30.jpeg.

Prepare mapping file

Open a text editor and prepare a file used to map dots into figure.

Run the program:

python spotifier.py testdata/02/s02_30.psd -t -m testdata/02/map.txt

The results should be like this:

and the file s02_30_spots.png should be created in the folder next to the input file (in this case testdata/s02/s02_30_spots.png)


TIP: If you want to introduce one extra, empty line, just add an empty line to a map file.

Customization

If you want to move single dots, use Preview and just move them around, save it (if you open a JPG, you will be asked if you want to convert the file to PNG, yeah, do it, remember only to change the file name in the command, 18_X.png).

and re-run:

python spotifier.py testdata/02/18_X.png -t -m testdata/02/map.txt

Use play with Opacity to see Backgound with the template to adjust positions of your dosts.

Mappings

Some ideas for your plates ;-):

5, 6, 7
8, 9, 10

12, 13, 14
15, 16, 17

20, 21, 22
23, 24, 25

28, 29, 30
31, 32, 33

36, 37, 38
39, 40, 41

44, 45, 46
47, 48, 49

1, 2, 3
5, 6, 7
8, 9, 10
12, 13, 14
15, 16, 17
21, 22, 23
24, 25, 26
28, 29, 30
31, 32, 33
36, 37, 38
39, 40, 41
44, 45, 46
47, 48, 49
51, 52, 53
53, 54, 55
57, 58, 59

For reporters

For reporters, prepare each PSD file as described above. Run spotifier.py for each plate to check if everything is correct:

python spotifier.py testdata/repoters/2.txt testdata/repoters/1.psd

and then run this cmd to process each PSD files and combine all outputs into one figure.

python spotifier.py testdata/repoters/2.txt testdata/repoters/*.psd

Digitifier

Process a figure into numbers:

  python digitifier.py 8 6 testdata/digitfier/1_all.png
[  3.         238.12373299 434.86099169 -27.59790191  96.14306032
 289.4862576  391.415654   242.01505869]
          0
0  0.066164
1  0.574584
2  1.000000
3  0.000000
4  0.267572
5  0.685648
6  0.906056
7  0.582999
Output created testdata/digitfier/1_all_plot.png

Install

pip install -e git+http://github.com/mmagnus/yeast-spotifier.git#egg=yeast-spotifier

and install requirements:

pip install pillow psd-tools3 # psd-tools3 only if you want to work on PSD (Photoshop) files

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