Parallelized, Low-cost, and Real-time Machine Learning Model for Immune Cell Morphological Profiling
Keywords: Cell Morphology Imaging, Machine Learning, Cell Characterization, Image Cytometry, Microfluidic
TL;DR: A low-cost machine learning model classifies single-cell biophysical morphology into eight categories based on shape and size, achieving 85% accuracy and strong generalization.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 240
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