TomoFlow bridges the gap between quantitative 3D imaging (so far only static) and flow cytometry (so far only 2D), while preserving the sub-cellular specificity in the absence of dyes/markers or fluorescence readout.
We get it done thanks to two simple ideas:
1. 3D tomograms of cells in continuous flow. Instead of changing the illumination angle, we let them roll in controlled manner and probe them from different directions with a setup that has no moving parts. Our roadmap to in-flow tomography with the flow cytometry throughput.
2. Brand new 3D analysis for specificity. Computational Segmentation based on Statistical Inference (CSSI) adds specificity to 3D refractive index tomograms. CSSI associates voxels to the organelles or cell sub-compartments they belong. CSSI relies on very solid statistical hypothesis tests based on the measured single cell data only. No prior information, thresholds, or AI is exploited by CSSI, for unprecedented generalizability.
The measuring instrument should never alter the measurand. Ok, impossible in theory, I'll give you that. But at least make your best...
World beauties are 3D, image them in 3D
A cell with 3D displacement of its inner elements should not be flattened by measaurements in adhesion
A blood cell that naturally lives in suspension should be imaged in suspension
You don't want to measure the cytotoxicity of a drug by using cytotoxic tags. Yet you did it since there was no alternative so far
TomoFlow is a game changing, non-invasive, green tech that will push knowledge beyond fluorescence while keeping its benefits.
For these reasons and many others, you should give a try to the imaging flow cytometer for the years ahead.