High-throughput imaging flow cytometry by optofluidic time-stretch microscopy.
Cheng LeiHirofumi KobayashiYi WuMing LiAkihiro IsozakiAtsushi YasumotoHideharu MikamiTakuro ItoNao NittaTakeaki SugimuraMakoto YamadaYutaka YatomiDino Di CarloYasuyuki OzekiKeisuke GodaPublished in: Nature protocols (2019)
The ability to rapidly assay morphological and intracellular molecular variations within large heterogeneous populations of cells is essential for understanding and exploiting cellular heterogeneity. Optofluidic time-stretch microscopy is a powerful method for meeting this goal, as it enables high-throughput imaging flow cytometry for large-scale single-cell analysis of various cell types ranging from human blood to algae, enabling a unique class of biological, medical, pharmaceutical, and green energy applications. Here, we describe how to perform high-throughput imaging flow cytometry by optofluidic time-stretch microscopy. Specifically, this protocol provides step-by-step instructions on how to build an optical time-stretch microscope and a cell-focusing microfluidic device for optofluidic time-stretch microscopy, use it for high-throughput single-cell image acquisition with sub-micrometer resolution at >10,000 cells per s, conduct image construction and enhancement, perform image analysis for large-scale single-cell analysis, and use computational tools such as compressive sensing and machine learning for handling the cellular 'big data'. Assuming all components are readily available, a research team of three to four members with an intermediate level of experience with optics, electronics, microfluidics, digital signal processing, and sample preparation can complete this protocol in a time frame of 1 month.
Keyphrases
- high throughput
- single cell
- flow cytometry
- high resolution
- rna seq
- big data
- machine learning
- induced apoptosis
- single molecule
- artificial intelligence
- deep learning
- cell cycle arrest
- randomized controlled trial
- high speed
- healthcare
- palliative care
- endoplasmic reticulum stress
- mass spectrometry
- stem cells
- cell death
- reactive oxygen species
- quality improvement
- fluorescence imaging
- oxidative stress
- induced pluripotent stem cells
- pluripotent stem cells