Add to BibSonomyAbstract
We present a classification scheme of different types of RBC in human blood using a Diffraction Phase Microscopy (DPM) setup combine with Machine learning. The experimental study demonstrated an improved accuracy in classification of RBCs.
© 2021 The Author(s)
PDF ArticleMore Like This
Dynamics of RBC membrane affected by paroxysmal nocturnal hemoglobinuria (PNH) using a quantitative phase imaging
Seungrag Lee, Byungjun Park, and Youngjae Won
W2A.41 Digital Holography and Three-Dimensional Imaging (DH) 2017
Imaging the effect of hemoglobin on properties of RBCs using common-path digital holographic microscope
M. Joglekar, H. Shah, V. Trivedi, S. Mahajan, V. Chhaniwal, R. Leitgeb, B. Javidi, and A. Anand
104140W European Conference on Biomedical Optics (ECBO) 2017
Detection and classification of urine components utilizing quantitative phase imaging and machine learning
Marlene Kallaß, Yussef Hanna, Álvaro Barroso, Steffi Ketelhut, Jürgen Schnekenburger, and Björn Kemper
126300I European Conference on Biomedical Optics (ECBO) 2023