I'm trying to find an unbiased quantitative approach for analyzing beta-galactosidase staining.
If there is no other way than to manually count, what is the recommended approach?
how many cells should be counted?
should multiple people count the same sample?
is there an established method to count a fraction of the sample and then extrapolate to get the approximate number of beta-gal positive and beta-gal negative cells in the whole sample?
any other tips you may have would be of great help!
you can use imageJ software. Convert your file into black and white picture, then you can make the software automaticaly count all spots (cells), then set a threshod in order to get only positive cells on the picture, count again and calculate the ratio positive/total. By keeping the threshold settings unchanged between pictures you should be able to treat all your datas without any bias.
When converting to black and white - is there a specific file type (8-bit, 16-bit, jpg, tiff) that should be maintained? Also - do you know of any helpful tutorials that go through threshold setting and cell counting?
There are some really good tutorials for ImageJ on Youtube actually. If you search for ImageJ and specifically what you want to do you can find whole protocols or sectional information.