2017
DOI: 10.1038/s41598-017-12990-4
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Single-cell screening of multiple biophysical properties in leukemia diagnosis from peripheral blood by pure light scattering

Abstract: Histology and histopathology are based on the morphometric observations of quiescent cells. Their diagnostic potential could largely benefit from a simultaneous screening of intrinsic biophysical properties at single-cell level. For such a purpose, we analyzed light scattering signatures of individual mononuclear blood cells in microfluidic flow. In particular, we extracted a set of biophysical properties including morphometric (dimension, shape and nucleus-to-cytosol ratio) and optical (optical density) ones … Show more

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Cited by 23 publications
(20 citation statements)
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“…generally have been noticed to possess different textures (contrast, correlation, energy) and refractive indexes (15), especially when they are activated and specialized into subtypes at different immunological checkpoints.…”
Section: Feature Selectionmentioning
confidence: 99%
“…generally have been noticed to possess different textures (contrast, correlation, energy) and refractive indexes (15), especially when they are activated and specialized into subtypes at different immunological checkpoints.…”
Section: Feature Selectionmentioning
confidence: 99%
“…The question of cell size is at the core of how organisms coordinate cell growth and proliferation. Cell volume dysregulation has been broadly used as a biophysical marker for disease, notably cancer (Kozma and Thomas, 2002;Dannhauser et al, 2017). At a basic level, with increasing cell size, the cell surface-to-volume ratio shrinks, potentially altering the ratio of membrane-bound components to cytoplasmic components, thus fundamentally changing both inter-and intracellular dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Kobayashi et al demonstrated label‐free optofluidic time‐stretch microscopy, creating a SVM classifier to identify paclitaxel‐treated MCF‐7 cells versus untreated cells at an accuracy of 92%. Also on a microfluidic flow platform, Dannhauser et al used light scattering properties to discriminate peripheral blood mononuclear blood cell types, including T‐, B‐lymphocytes, and monocytes in different stages of lymphoid and myeloid leukemia. Lee et al used an ultrafast quantitative phase imaging (QPI) flow cytometer to classify multiple human leukemic cell types at ~92–97% accuracy based on subcellular biophysical profiles.…”
Section: Discussionmentioning
confidence: 99%