@article{71a988156d4246e5a454774e8e9037cf,
title = "An Omni-Mesoscope for multiscale high-throughput quantitative phase imaging of cellular dynamics and high-content molecular characterization",
abstract = "The mesoscope has emerged as a powerful imaging tool in biomedical research, yet its high cost and low resolution have limited its broader application. Here, we introduce the Omni-Mesoscope, a high-spatial-temporal and multimodal mesoscopic imaging platform built from cost-efficient off-the- shelf components. This system uniquely merges the capabilities of label-free quantitative phase microscopy to capture live-cell morphodynamics across thousands of cells with highly multiplexed fluorescence imaging for comprehensive molecular characterization. This Omni-Mesoscope offers a mesoscale field of view of ∼5 square millimeters with a high spatial resolution down to 700 nanometers, enabling the capture of detailed subcellular features. We demonstrate its capability in delineating molecular characteristics underlying rare morphodynamic cellular phenomena, including cancer cell responses to chemotherapy and the emergence of polyploidy in drug-resistant cells. We also integrate expansion technique to enhance three-dimensional volumetric super-resolution imaging of thicker tissues, opening the avenues for biological exploration at unprecedented scales and resolutions.",
author = "Hongqiang Ma and Maomao Chen and Jianquan Xu and Yaxin Yang and Yongxin Zhao and Yang Liu",
note = "Acknowledgments Funding: this work was supported by national institutes of health grant R01cA254112 (Y.l.), national institutes of health grant R01cA232593 (Y.l.), national institutes of health grant R21cA259787 (Y.l.), national institutes of health grant P41eB031772 (Y.l.), national institutes of health grant R01eB035890 (Y.Z.), national institutes of health grant RF1Mh129267 (Y.Z.), and the charles e. Kaufman Foundation (Y.Z.). Author contributions: conceptualization: h.M., J.X., and Y.l. data curation: h.M. Formal analysis: h.M. and Y.Y. investigation: h.M., J.X., and Y.Z. Methodology: h.M., J.X., and Y.Z. Funding acquisition: Y.l. Resources: h.M., J.X., and Y.Z. Software: M.c. and h.M. Supervision: Y.l. validation: J.X. and h.M. visualization: h.M. and M.c. Project administration: Y.l. Writing\u2014original draft: h.M. and Y.Z. Writing\u2014review and editing: h.M., Y.Z., and Y.l. Competing interests: h.M. and Y.l. are inventors on a provisional US patent application related to this work by the University of illinois Urbana-champaign (no. 63/670,569, filed 12 July 2024). Y.Z. is an inventor on patents and patent applications related to this work filed by carnegie Mellon University (patent no. 11,802,822, filed 3 december 2020, published 31 October 2023; patent applications 18/267,134, filed 15 december 2021, published 15 February 2024; 17/251,855, filed 14 September 2019, published 19 August 2021). the authors declare that they have no other competing interests. Data and materials availability: All data needed to evaluate the conclusions are shown in the paper and/or the Supplementary Materials. the raw image data are deposited at https://doi.org/10.5061/dryad.t76hdr88t for free download. Funding: This work was supported by National Institutes of Health grant R01CA254112 (Y.L.), National Institutes of Health grant R01CA232593 (Y.L.), National Institutes of Health grant R21CA259787 (Y.L.), National Institutes of Health grant P41EB031772 (Y.L.), National Institutes of Health grant R01EB035890 (Y.Z.), National Institutes of Health grant RF1MH129267 (Y.Z.), and the Charles E. Kaufman Foundation (Y.Z.). Author contributions: Conceptualization: H.M., J.X., and Y.L. Data curation: H.M. Formal analysis: H.M. and Y.Y. Investigation: H.M., J.X., and Y.Z. Methodology: H.M., J.X., and Y.Z. Funding acquisition: Y.L. Resources: H.M., J.X., and Y.Z. Software: M.C. and H.M. Supervision: Y.L. Validation: J.X. and H.M. Visualization: H.M. and M.C. Project administration: Y.L. Writing-original draft: H.M. and Y.Z. Writing-review and editing: H.M., Y.Z., and Y.L. Competing interests: H.M. and Y.L. are inventors on a provisional US patent application related to this work by the University of Illinois Urbana-C hampaign (no. 63/670, 569, filed 12 July 2024). Y.Z. is an inventor on patents and patent applications related to this work filed by Carnegie Mellon University (patent no. 11, 802, 822, filed 3 December 2020, published 31 October 2023; patent applications 18/267, 134, filed 15 December 2021, published 15 February 2024; 17/251, 855, filed 14 September 2019, published 19 August 2021). The authors declare that they have no other competing interests. Data and materials availability: All data needed to evaluate the conclusions are shown in the paper and/or the Supplementary Materials. The raw image data are deposited at https://doi.org/10.5061/dryad.t76hdr88t for free download.",
year = "2024",
month = oct,
day = "18",
doi = "10.1126/sciadv.adq5009",
language = "English (US)",
volume = "10",
journal = "Science Advances",
issn = "2375-2548",
publisher = "American Association for the Advancement of Science",
number = "42",
}