Usage¶
Array Analyse¶
from proMAD import ArrayAnalyse
aa = ArrayAnalyse('ARY022B') # set array type
aa.load_collection('tests/cases/prepared', rotation=90) # set input folder
aa.evaluate("A6") # get result dictionary
aa.get_spot("A6") # get underlying image data
aa.evaluate() # get result dictionary for all spots
Documentation of the core module.
Cutter¶
- interactive
The cutter module can guess positions based on user-input of the general membrane shape.
from proMAD import Cutter
c = Cutter()
c.load_collection('tests/cases/raw') # set input folder
c.set_shape() # ask for the shape
c.guess_positions() # use a simple guess as a starting point
c.preview() # display guess (uses the last loaded image as default)
c.set_positions() # ask for refined cut positions
c.set_names() # ask for names
c.preview() # check in the preview
c.save_images('test/cases/formatted_image_folder') # save to folder (will be created if it does not exist)
- direct
Alternatively, positions can be directly provided.
from proMAD import Cutter
c = Cutter()
c.load_collection('tests/cases/raw') # set input folder
c.shape = (2, 3)
c.cut_positions = [[20, 225, 445], [40, 130, 217, 315]]
c.names = [['OL', 'ML', 'UL'], [None, 'MR', 'UR']]
c.preview()
c.save_images('test/cases/formatted_image_folder') # save to folder (will be created if it does not exist)
Documentation of the cut module.
Report¶
Reports can be exported in a variety of file formats (xlsx, csv, tex, json).
aa.report('report.xlsx') # export the results
Documentation of the report module.