期刊
APL PHOTONICS
卷 6, 期 7, 页码 -出版社
AMER INST PHYSICS
DOI: 10.1063/5.0051354
关键词
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资金
- National Institutes of Health [2R44DA045460-02]
- National Science Foundation [ECCS-1542148]
The newly developed Bessel-Gaussian beam image-guided cell sorter has an ultra-long depth of focus, enabling focused images of over 85% of passing cells. It utilizes characteristics extracted from the output temporal waveform of a photomultiplier tube (PMT) detector for label-free sorting based on cell images, achieving sorting purities of 97% for polystyrene beads, 97% for SKNO1 leukemia cells, and 98% for Scenedesmus green algae.
The microfluidic-based, label-free image-guided cell sorter offers a low-cost, high information content, and disposable solution that overcomes many limitations in conventional cell sorters. However, flow confinement for most microfluidic devices is generally only one-dimensional using sheath flow. As a result, the equilibrium distribution of cells spreads beyond the focal plane of commonly used Gaussian laser excitation beams, resulting in a large number of blurred images that hinder subsequent cell sorting based on cell image features. To address this issue, we present a Bessel-Gaussian beam image-guided cell sorter with an ultra-long depth of focus, enabling focused images of >85% of passing cells. This system features label-free sorting capabilities based on features extracted from the output temporal waveform of a photomultiplier tube (PMT) detector. For the sorting of polystyrene beads, SKNO1 leukemia cells, and Scenedesmus green algae, our results indicate a sorting purity of 97%, 97%, and 98%, respectively, showing that the temporal waveforms from the PMT outputs have strong correlations with cell image features. These correlations are also confirmed by off-line reconstructed cell images from a temporal-spatial transformation algorithm tailored to the scanning Bessel-Gaussian beam.
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