ArticleScientific reports2017
Single-cell screening of multiple biophysical properties in leukemia diagnosis from peripheral blood by pure light scattering.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Real-Time Biophysical Phenotyping and Sorting of Transiting Cells Along a Constriction Microchannel.Micromachines · 2026Article
- Hybrid modeling of electroporation and impedance spectroscopy for label free characterization of stem cells.Scientific reports · 2026Article
- Next-generation endoscopic probe for detection of esophageal dysplasia using combined OCT and angle-resolved low-coherence interferometry.Biomedical optics express · 2024Article
- Unknown cell class distinction via neural network based scattering snapshot recognition.Biomedical optics express · 2023Article
- Single cell classification of macrophage subtypes by label-free cell signatures and machine learning.Royal Society open science · 2022Article
- New Trends in Precision Medicine: A Pilot Study of Pure Light Scattering Analysis as a Useful Tool for Non-Small Cell Lung Cancer (NSCLC) Diagnosis.Journal of personalized medicine · 2021Article
- Label-Free Leukemia Monitoring by Computer Vision.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020Article
- YAP and TAZ regulate cell volume.The Journal of cell biology · 2019Article
- Label-Free Identification of White Blood Cells Using Machine Learning.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019Article
- Two-way detection of image features and immunolabeling of lymphoma cells with one-step microarray analysis.Biomicrofluidics · 2018Article
- Biophysical investigation of living monocytes in flow by collaborative coherent imaging techniques.Biomedical optics express · 2018Article
- Multi-Band Sensing for Dielectric Property of Chemicals Using Metamaterial Integrated Microfluidic Sensor.Scientific reports · 2018Article
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5 authors.
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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 to clearly discriminate different cell types and stages. By considering distinctive ranges of biophysical properties along with the obtained relative cell frequencies, we can identify unique cell classes corresponding to specific clinical conditions (p < 0.01). Based on such a straightforward approach, we are able to discriminate T-, B-lymphocytes, monocytes and beyond that first results on different stages of lymphoid and myeloid leukemia cells are presented. This work shows that the simultaneous screening of only three biophysical properties enables a clear distinction between pathological and physiological mononuclear blood stream cells. We believe our approach could represent a useful tool for a label-free analysis of biophysical single-cell signatures.
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