Agbana, T.E. (author), Nijman, Patrick (author), Hoeboer, M.D.B. (author), van Grootheest, D.N. (author), van Diepen, Angela (author), van Lieshout, Lisette (author), Diehl, J.C. (author), Verhaegen, M.H.G. (author), Vdovin, Gleb (author) We present a simple method for the diagnosis of urinary schistosomiasis using an in-line lensless holographic microscope combined with flow cytometry technique. Using simple image processing algorithms and binary image classifier, our system provides automated detection of Schistosoma haematobium eggs in infected urine samples. Registered...
conference paper 2020
