Mantis: High-throughput 4D imaging and analysis of the molecular and physical architecture of cells
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Abstract
High-throughput dynamic imaging of cells and organelles is essential for understanding complex cellular responses. We report Mantis, a high-throughput 4D microscope that integrates two complementary, gentle, live-cell imaging technologies: remote-refocus label-free microscopy and oblique light-sheet fluorescence microscopy. Additionally, we report shrimPy (Smart High-throughput Robust Imaging and Measurement in Python), an open-source software for high-throughput imaging, deconvolution, and single-cell phenotyping of 4D data. Using Mantis and shrimPy, we achieved high-content correlative imaging of molecular dynamics and the physical architecture of 20 cell lines every 15 min over 7.5 h. This platform also facilitated detailed measurements of the impacts of viral infection on the architecture of host cells and host proteins. The Mantis platform can enable high-throughput profiling of intracellular dynamics, long-term imaging and analysis of cellular responses to perturbations, and live-cell optical screens to dissect gene regulatory networks.
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Is it accurate to say that the retardance and orientation of infected cells was not different from uninfected? it may still be useful to plot for completeness. it may also be useful to note what kinds of investigations this unified fluorescence/label-free system allows that would not be possible (or be very challenging) with two separate systems. Overall, beautiful, useful paper!
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Our iterative alignmen
It would be interesting to learn from a user's perspective how long the initial assembly takes and how long day-to-day routine maintenance takes
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