Image Analysis Quality Control
Part 3: Staining QC
Image Quality Control (QC) is an essential first step in any image analysis study. At OracleBio, we QC check every image before analysis and only proceed with images that meet certain criteria, taking into consideration 1) Image Scan 2) Tissue Section and 3) Staining. In the final of our 3-part Image Analysis Quality Control Blog series, we discuss what to look for when reviewing the staining of a sample to determine suitability for analysis.
There are many factors to consider when deciding if an image is suitable for image analysis and these are just some to include when conducting Staining QC. To find out what else we include in our QC check, click here to read Image Analysis Quality Control Part 1: Image Scan QC and Image Analysis Quality Control Part 2: Tissue Section QC.
Encountering some of the issues above does not necessarily mean that an image cannot be analysed as some problems can be overcome, for example by negative annotation or additional algorithm development. Unfortunately, at OracleBio we do have to fail a significant number of images every year because the image analysis data generated will not be robust. If you are unsure if your images are suitable for quantitative analysis or need advice on how to avoid encountering some of these issues, please contact us.