Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections

Luis E. Villegas-Hernández; Vishesh Dubey; Mona Nystad; Jean-Claude Tinguely; David A. Coucheron; Firehun T. Dullo; Anish Priyadarshi; Sebastian Acuña; Azeem Ahmad; José M. Mateos; Gery Barmettler; Urs Ziegler; Åsa Birna Birgisdottir; Aud-Malin Karlsson Hovd; Kristin Andreassen Fenton; Ganesh Acharya; Krishna Agarwal; Balpreet Singh Ahluwalia

doi:10.1038/s41377-022-00731-w

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Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections

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- Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections
- Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections
- LSA 2022年11卷第3期页码：324-340
- Affiliations：
  
  1.Department of Physics and Technology, UiT The Arctic University of Norway, Klokkargårdsbakken N-9019, Tromsø, Norway
  2.Department of Clinical Medicine, Women's Health and Perinatology Research Group, UiT The Arctic University of Norway, Tromsø, Norway
  3.Department of Obstetrics and Gynecology, University Hospital of North Norway, Tromsø, Norway
  4.Center for Microscopy and Image Analysis, University of Zurich, Zürich, Switzerland
  5.Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromsø, Norway
  6.Department of Clinical Medicine, Clinical Cardiovascular Research Group, UiT The Arctic University of Norway, Tromsø, Norway
  7.Department of Medical Biology, RNA and Molecular Pathology Research Group, UiT The Arctic University of Norway, Tromsø, Norway
  8.Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden
- Author bio：
  
  Balpreet Singh Ahluwalia (balpreet.singh.ahluwalia@uit.no)
- Funds：
- DOI：10.1038/s41377-022-00731-w
  中图分类号：
- 纸质出版日期：2022-03-31，
  
  网络出版日期：2022-02-24，
  
  收稿日期：2021-05-22，
  
  修回日期：2022-01-20，
  
  录用日期：2022-02-02
- Accepted：
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Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections[J]. LSA, 2022,11(3):324-340.

Villegas-Hernández, L. E. et al. Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections. Light: Science & Applications, 11, 324-340 (2022).
Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections[J]. LSA, 2022,11(3):324-340. DOI： 10.1038/s41377-022-00731-w.

Villegas-Hernández, L. E. et al. Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections. Light: Science & Applications, 11, 324-340 (2022). DOI： 10.1038/s41377-022-00731-w.

摘要

Abstract

Histology involves the observation of structural features in tissues using a microscope. While diffraction-limited optical microscopes are commonly used in histological investigations

their resolving capabilities are insufficient to visualize details at subcellular level. Although a novel set of super-resolution optical microscopy techniques can fulfill the resolution demands in such cases

the system complexity

high operating cost

lack of multi-modality

and low-throughput imaging of these methods limit their wide adoption for histological analysis. In this study

we introduce the photonic chip as a feasible high-throughput microscopy platform for super-resolution imaging of histological samples. Using cryopreserved ultrathin tissue sections of human placenta

mouse kidney

pig heart

and zebrafish eye retina prepared by the Tokuyasu method

we demonstrate diverse imaging capabilities of the photonic chip including total internal reflection fluorescence microscopy

intensity fluctuation-based optical nanoscopy

single-molecule localization microscopy

and correlative light-electron microscopy. Our results validate the photonic chip as a feasible imaging platform for tissue sections and pave the way for the adoption of super-resolution high-throughput multimodal analysis of cryopreserved tissue samples both in research and clinical settings.

关键词

Keywords

references

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