In optical imaging, this presentation unveils advancements in two key areas: quantitative phase imaging (QPI) cell segmentation and QPI's application in targeted enzyme activity mapping. QPI complements fluorescence imaging, revealing cell morphology and dynamics without contrast agents. Live-cell 3D tomography enables systematic parameter analysis, free from phototoxicity. Yet, 3D tomogram analysis lags behind imaging speed. Introducing CellSNAP (Cell Segmentation via Novel Algorithm for Phase Imaging), an algorithm that achieves rapid single-core cell segmentation. Addressing clumped cells and interferogram drifts, CellSNAP empowers high-throughput analysis, expanding QPI adoption. Beyond this, QPI's potential in molecular imaging, particularly enzyme activity mapping, is explored. Innovative QPI contrast agents reveal enzyme activity via refractive index modulation, with implications for disease diagnosis and therapeutic assessment.
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