Mantis: high-throughput 4D imaging and analysis of the molecular and physical architecture of cells
I. E. Ivanov, E. Hirata-Miyasaki, T. Chandler, R. C. Kovilakam, Z. Liu, S. Pradeep, C. Liu, M. Bhave, S. Khadka, C. Arias, M. D. Leonetti, B. Huang, S. B. Mehta
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, 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 minutes over 7.5 hours. 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. Significance StatementUnderstanding the dynamics and interactions of cellular components is crucial for biological research and drug discovery. Current dynamic fluorescence microscopy methods can only image a few fluorescent labels, providing a limited view of these complex processes. We developed Mantis, a high-throughput 3D microscope that maps interactions among components of dynamic cell systems. Mantis combines light-sheet fluorescence imaging of multiple fluorophores with quantitative label-free microscopy and is complemented by shrimPy, our open-source software for high-throughput data acquisition and high-performance analysis. Mantis enabled simultaneous 3D time-lapse imaging of 20 cell lines and quantitative analysis of responses to perturbations like viral infection at single-cell resolution. This approach can accelerate the analysis of cellular dynamics and image-based drug discovery.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Observing the Cell in Its Native State: Imaging Subcellular Dynamics in Multicellular Organisms
Tsung-Li Liu, Srigokul Upadhyayula, … Eric Betzig·bioRxiv·Jan 9, 2018
- Imaging of cellular dynamics in vitro and in situ: from a whole organism to sub-cellular imaging with self-driving, multi-scale microscopy
Stephan Daetwyler, Hanieh Mazloom-Farsibaf, … Reto Paul Fiolka·Nature MethodsPeer-reviewed·Feb 12, 2025
- An Omni-Mesoscope for multiscale high-throughput quantitative phase imaging of cellular dynamics and high-content molecular characterization
Hongqiang Ma, Maomao Chen, … Yang Liu·Science AdvancesPeer-reviewed·Oct 16, 2024
- An Integrated Platform for High-Throughput Nanoscopy
A. E. S. Barentine, Y. Lin, … D. Baddeley·bioRxiv·Apr 20, 2022
- Combined Scattering, Interferometric and Fluorescence Oblique Illumination for Live Cell Nanoscale Imaging
- Visualizing and quantifying data from timelapse imaging experiments
E. K. Mahlandt, J. Goedhart·bioRxiv·Feb 24, 2021