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Related Experiment Video

Updated: Aug 20, 2025

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS).

Michae J Fanous^1,2, Shenghua He³, Sourya Sengupta⁴

¹Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. mfanous2@illinois.edu.

Scientific Reports

|November 22, 2022

Summary

This study introduces a rapid, automated method for analyzing unlabeled blood smears using quantitative phase imaging and deep learning. This technique accurately localizes, classifies, and segments white blood cells, offering a cost-effective alternative to traditional staining methods.

Failed At:

2026-07-14T07:43:09.593001+00:00

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