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Updated: Aug 15, 2026

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
Published on: November 19, 2018
Three-dimensional optical imaging for label-free sensing and classification of microorganisms and microparticles in
Abstract:
Digital holographic microscopy provides label-free imaging and quantitative phase information for microscopic particles in aquatic and fluidic environments. In this review paper, we review a number of digital holographic microscopy (DHM) configurations, including two-beam Mach-Zehnder, lateral shearing self-referencing, and lens-less systems for imaging, analysis, and classification of biological cells and microplastic particles. Phase-based features are used to classify morphologically similar yeast cells, achieving an accuracy of ∼90% using classical machine learning models. Lateral shearing DHM demonstrates improved temporal stability and enables three-dimensional tracking and imaging of diatoms and microspheres. A lens-less configuration is used for high-throughput imaging of highly scattering microplastics, where combined intensity and phase features enable classification of polystyrene and PMMA particles with ∼84% accuracy. The integration of digital holographic microscopy with microfluidics further enables real-time imaging and tracking under controlled flow conditions. The results show that reliable classification and characterization can be achieved using simple optical setups and engineered features, making DHM suitable for practical applications in aquatic and fluidic environments.
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