TY  - BOOK
AU  - Pirone,Daniele
AU  - Lim,Joowon
AU  - Merola,Francesco
AU  - Miccio,Lisa
AU  - Mugnano,Martina
AU  - Bianco,Vittorio
AU  - Cimmino,Flora
AU  - Visconte,Feliciano
AU  - Montella,Annalaura
AU  - Capasso,Mario
AU  - Iolascon,Achille
AU  - Memmolo,Pasquale
AU  - Psaltis,Demetri
AU  - Ferraro,Pietro
TI  - Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry
PY  - 2022///-12
KW  - Text
KW  - local
N1  - /pmc/articles/PMC7613862; /pubmed/36451849
N2  - Quantitative Phase Imaging (QPI) has gained popularity in bioimaging because it can avoid the need for cell staining, which in some cases is difficult or impossible. However, as a result, QPI does not provide labelling of various specific intracellular structures. Here we show a novel computational segmentation method based on statistical inference that makes it possible for QPI techniques to identify the cell nucleus. We demonstrate the approach with refractive index tomograms of stain-free cells reconstructed through the tomographic phase microscopy in flow cytometry mode. In particular, by means of numerical simulations and two cancer cell lines, we demonstrate that the nucleus can be accurately distinguished within the stain-free tomograms. We show that our experimental results are consistent with confocal fluorescence microscopy (FM) data and microfluidic cytofluorimeter outputs. This is a significant step towards extracting specific three-dimensional intracellular structures directly from the phase-contrast data in a typical flow cytometry configuration
UR  - http://dx.doi.org/10.1038/s41566-022-01096-7
ER  -