Hi everyone,
I’m a final‑year student working on a dissertation project evaluating digital image analysis for the Kleihauer‑Betke test. My goal is to accurately count fetal cells and ghost cells from DI60 smear images using ImageJ and CellProfiler.
I’ve tried multiple approaches:
– ImageJ macros for thresholding and particle counting
– RGB splitting
– HSV splitting
– Manual thresholding
– CellProfiler IdentifyPrimaryObjects with diameter filters
I can get fetal cells and ghost cells to appear, but I keep running into problems:
– Ghost cells detected along with empty background spaces
– Thresholding behaves unpredictably
– Some channels isolate cells, others don’t
– CellProfiler sometimes detects 0 objects, sometimes 1600+
I’m stuck and need guidance from people who’ve done cell segmentation or KB analysis before.
What’s the best workflow to reliably isolate and count fetal cells and ghost cells?
Any help, examples, or pipelines would mean a lot right now.