AI Article Synopsis

  • Imaging flow cytometry merges flow cytometry with fluorescence imaging and digital analysis, making it valuable for research in areas like cancer biology and drug discovery.
  • A major limitation is its reliance on fluorescent labeling for identifying cell types.
  • The study introduces a label-free chemical imaging approach using advanced laser technology, allowing for rapid analysis of living cells, with applications in studying microalgal metabolism and detecting cancer markers without labels.

Article Abstract

Combining the strength of flow cytometry with fluorescence imaging and digital image analysis, imaging flow cytometry is a powerful tool in diverse fields including cancer biology, immunology, drug discovery, microbiology, and metabolic engineering. It enables measurements and statistical analyses of chemical, structural, and morphological phenotypes of numerous living cells to provide systematic insights into biological processes. However, its utility is constrained by its requirement of fluorescent labeling for phenotyping. Here we present label-free chemical imaging flow cytometry to overcome the issue. It builds on a pulse pair-resolved wavelength-switchable Stokes laser for the fastest-to-date multicolor stimulated Raman scattering (SRS) microscopy of fast-flowing cells on a 3D acoustic focusing microfluidic chip, enabling an unprecedented throughput of up to ∼140 cells/s. To show its broad utility, we use the SRS imaging flow cytometry with the aid of deep learning to study the metabolic heterogeneity of microalgal cells and perform marker-free cancer detection in blood.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690022PMC
http://dx.doi.org/10.1073/pnas.1902322116DOI Listing

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