Cameraless High-throughput 3D Imaging Flow Cytometry

TL;DR

This paper introduces a novel cameraless 3D imaging flow cytometry technique that achieves high-throughput, high-resolution 3D imaging of single cells in flow, overcoming the limitations of traditional 2D IFC systems.

Contribution

It presents a new optical sectioning microscopy method combining light-sheet illumination with spatiotemporal detection for 3D cell imaging in flow.

Findings

Achieved 3D imaging of cells at 0.2 m/s flow velocity.

Captured co-registered fluorescence and side-scattering images.

Produced 3D reconstructions with less than 1 micron resolution.

Abstract

Increasing demand for understanding the vast heterogeneity of cellular phenotypes has driven the development of imaging flow cytometry (IFC), that combines features of flow cytometry with fluorescence and bright field microscopy. IFC combines the throughput and statistical advantage of flow cytometry with the ability to discretely measure events based on a real or computational image, as well as conventional flow cytometry metrics. A limitation of existing IFC systems is that, regardless of detection methodology, only two-dimensional (2D) cell images are obtained. Without tomographic three-dimensional (3D) resolution the projection problem remains: collapsing 3D information onto a 2D image, limiting the reliability of spot counting or co-localization crucial to cell phenotyping. Here we present a solution to the projection problem: three-dimensional imaging flow cytometry (3D-IFC), a high-throughput 3D cell imager based on optical sectioning microscopy. We combine orthogonal light-sheet scanning illumination with our previous spatiotemporal transformation detection to produce 3D cell image reconstruction from a cameraless single-pixel photodetector readout. We further demonstrate this capability by co-capturing 3D fluorescence and label-free side-scattering images of single cells in flow at a velocity of 0.2 m s-1, corresponding to a throughput of approximately 500 cells per second with 60,000 voxels (resized subsequently to 106 voxels) for each cell image at a resolution of less than 1 micron in X, Y, and Z dimensions. Improved high-throughput imaging tools are needed to phenotype-genotype recognized heterogeneity in the fields of immunology, oncology, cell- and gene- therapy, and drug discovery.