Mantis: High-throughput 4D imaging and analysis of the molecular and physical architecture of cells

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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Publication Details

Journal
PNAS Nexus
Published
2024-08-09
DOI
https://doi.org/10.1093/pnasnexus/pgae323
Citations
13
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
8.61

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Mantis: High-throughput 4D imaging and analysis of the molecular and physical architecture of cells

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PNAS Nexus
Cell Image Analysis Techniques
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article

Mantis: High-throughput 4D imaging and analysis of the molecular and physical architecture of cells

Ziwen Liu, Shalin B. Mehta, Eduardo Hirata-Miyasaki, Chad Liu, Bo Huang, Talon Chandler, Manuel D. Leonetti, Carolina Arias, Rasmi Cheloor-Kovilakam, Sudip Khadka, Ivan E. Ivanov, Madhura Bhave, Soorya Pradeep
article en
13 citations

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.

PNAS NexusVol. 3(9)
University of California, San Francisco (US), Chan Zuckerberg Initiative (United States) (US), University of San Francisco (US)
National Institutes of Health
Openalex Percentile: Top 3%
Cell Image Analysis Techniques
8.61
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