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<p>Holo-tomographic flow cytometry for label-free phenotyping of suspended acute myeloid leukemia blasts is demonstrated. A concave segmentation algorithm is applied to 3D refractive index tomograms to quantify NPM1-mutation-associated cup-like nuclear morphologies, with virtual reality visualization offering engaging immersion. The method enables population-level detection of statistically significant shifts in 3D cell morphology, originally correlating phenotype with genotype.</p>

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Rolling into the genome: linking mutations to cellular structure through label-free holographic cytometry

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月14日

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  • Maciej Trusiak

摘要

Holo-tomographic flow cytometry for label-free phenotyping of suspended acute myeloid leukemia blasts is demonstrated. A concave segmentation algorithm is applied to 3D refractive index tomograms to quantify NPM1-mutation-associated cup-like nuclear morphologies, with virtual reality visualization offering engaging immersion. The method enables population-level detection of statistically significant shifts in 3D cell morphology, originally correlating phenotype with genotype.