Multiscale, Survey-and-Target Optical Super-Resolution Histology

Super-resolution microscopy reveals fine subcellular tissue architecture, yet extending this capability to histological screening requires balancing spatial resolution with imaging area, axial access, throughput, and instrumental complexity. Here we present multiscale optical super-resolution histology (MOSH), an integrated optical-computational platform that combines tissue-scale, extended-depth-of-focus super-resolution surveys with coordinate-guided three-dimensional interrogation of selected targets. MOSH leverages stationary multifocal excitation, continuous sample translation, tunable axial refocusing, and parallelized reconstruction within a shared spatial-coordinate framework in a conventional epi-fluorescence setting. This survey-and-target strategy preserves tissue-scale context, directs volumetric acquisition to selected subcellular structures, and generates virtual H&E images that retain resolution-enhanced structural information. Across cultured cells, cytological preparations, conventional tissue sections, and intact unsectioned biopsies, MOSH achieved approximately twofold resolution enhancement, continuous lateral coverage beyond the native field of view, and tunable axial survey ranges up to 20 μm. Bridging tissue-scale histological screening and targeted, quantitative nanoscale interrogation, MOSH establishes a scalable framework for multiscale analysis of biological and clinical specimens.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-28
DOI
https://doi.org/10.64898/2026.10.26.762070
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
preprint

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preprint

Multiscale, Survey-and-Target Optical Super-Resolution Histology

Hajun Yoo, Ronghao Zhang, Oliver S. Lee, Kidan Tadesse et al.
1 links
bioRxiv (Cold Spring Harbor Laboratory)
Advanced Fluorescence Microscopy Techniques
preprint

Multiscale, Survey-and-Target Optical Super-Resolution Histology

Hajun Yoo, Ronghao Zhang, Oliver S. Lee, Kidan Tadesse, Shu Jia, Zizhen Zha, Gabriel A. Kwong, Brian Scott Robinson, Eunice Chou, Qiaoni Liu, Jennifer Robertson, Vaunita Cohen Parihar, Peng Chen
preprint en

Abstract

Super-resolution microscopy reveals fine subcellular tissue architecture, yet extending this capability to histological screening requires balancing spatial resolution with imaging area, axial access, throughput, and instrumental complexity. Here we present multiscale optical super-resolution histology (MOSH), an integrated optical-computational platform that combines tissue-scale, extended-depth-of-focus super-resolution surveys with coordinate-guided three-dimensional interrogation of selected targets. MOSH leverages stationary multifocal excitation, continuous sample translation, tunable axial refocusing, and parallelized reconstruction within a shared spatial-coordinate framework in a conventional epi-fluorescence setting. This survey-and-target strategy preserves tissue-scale context, directs volumetric acquisition to selected subcellular structures, and generates virtual H&E images that retain resolution-enhanced structural information. Across cultured cells, cytological preparations, conventional tissue sections, and intact unsectioned biopsies, MOSH achieved approximately twofold resolution enhancement, continuous lateral coverage beyond the native field of view, and tunable axial survey ranges up to 20 μm. Bridging tissue-scale histological screening and targeted, quantitative nanoscale interrogation, MOSH establishes a scalable framework for multiscale analysis of biological and clinical specimens.

bioRxiv (Cold Spring Harbor Laboratory)
Georgia Institute of Technology (US), Emory University (US)
National Science Foundation, Georgia Research Alliance, National Institutes of Health, Winship Cancer Institute, National Cancer Institute
Advanced Fluorescence Microscopy Techniques
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