Image Analysis Quality Control
Part 1: Image Scan QC
Good quality image analysis requires good quality images. Therefore, before beginning quantitative analysis it is essential to first conduct a Quality Control (QC) review of all images to assess suitability for analysis and to only proceed with images that meet certain criteria. At OracleBio, we QC check every image before analysis, taking into consideration 1) Image Scan 2) Tissue Section and 3) Staining. In the first of our 3-part Image Analysis Quality Control Blog series, we look at a number of examples of pitfalls in Image Scan QC and the impact they can have on image analysis data if not identified and remedied.
There are many factors to consider when deciding if an image is suitable for image analysis, these are just some to include when conducting Image Scan QC. Look out for part 2 and part 3 of this QC Blog series, which will cover Tissue Section QC and Staining 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.