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Feature-driven whole-tissue imaging with subcellular resolution

  • Jinlong Lin
  • , Zach Marin
  • , Xiaoding Wang
  • , Hazel M. Borges
  • , Qionghua Shen
  • , Pierre Emmanuel Y. N'Guetta
  • , Xuemei Luo
  • , Baylee A. Porter
  • , Yuanyuan Xue
  • , Md Torikul Islam
  • , Tai Ngo
  • , Doreen Idonije
  • , Seweryn Gałecki
  • , Arin B. Aurora
  • , Hu Zhao
  • , Suzanne D. Conzen
  • , Sean J. Morrison
  • , Shuang Liang
  • , Zhenyu Zhong
  • , Lori L. O'Brien
  • Kevin M. Dean
  • University of Texas Southwestern Medical Center
  • Max Perutz Labs
  • University of North Carolina at Chapel Hill
  • Children's Medical Center Dallas
  • Chinese Institute for Brain Research

Research output: Contribution to journalArticlepeer-review

Abstract

Existing microscopy approaches are often unable to identify and contextualize rare but biologically meaningful events due to limitations associated with simultaneously achieving both high-resolution imaging and a cm-scale field of view. Here, we present multiscale cleared tissue axially swept light-sheet microscopy (MCT-ASLM), a platform combining cm-scale imaging with targeted high-resolution interrogation of intact tissues in human-guided or autonomous modes. Capable of capturing fields of view up to 21 mm at micron-scale resolution, MCT-ASLM can seamlessly transition to a targeted imaging mode with an isotropic resolution that approaches ∼300 nm. This versatility enables detailed studies of hierarchical organization and spatially complex processes, including mapping neuronal circuits in rat brains, visualizing glomerular innervation in mouse kidneys, and examining metastatic tumor microenvironments. By bridging subcellular- to tissue-level scales, MCT-ASLM offers a powerful method for unraveling how local events contribute to global biological phenomena.

Original languageEnglish
Article number101148
JournalCell Reports Methods
Volume5
Issue number9
DOIs
Publication statusPublished - 15 Sept 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CP: Imaging
  • LSFM
  • cancer
  • development
  • feature-driven cleared tissue imaging
  • multiscale ASLM
  • neuroscience

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Genetics
  • Radiology, Nuclear Medicine and Imaging
  • Computer Science Applications

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