Expansion-enhanced super-resolution radial fluctuations enable nanoscale molecular profiling of pathology specimens
Beteiligte Einrichtungen
- III. Medizinische Klinik und Poliklinik
- Institut für Medizinische Systembiologie
- Institut für Biochemie und Molekulare Zellbiologie
- Klinik und Poliklinik für Allgemein-, Viszeral- und Thoraxchirurgie
- Institut für Neuropathologie
- Klinik und Poliklinik für Geburtshilfe und Pränatalmedizin
- I. Medizinische Klinik und Poliklinik
- Institut für Pathologie
Abstract
Expansion microscopy physically enlarges biological specimens to achieve nanoscale resolution using diffraction-limited microscopy systems1. However, optimal performance is usually reached using laser-based systems (for example, confocal microscopy), restricting its broad applicability in clinical pathology, as most centres have access only to light-emitting diode (LED)-based widefield systems. As a possible alternative, a computational method for image resolution enhancement, namely, super-resolution radial fluctuations (SRRF)2,3, has recently been developed. However, this method has not been explored in pathology specimens to date, because on its own, it does not achieve sufficient resolution for routine clinical use. Here, we report expansion-enhanced super-resolution radial fluctuations (ExSRRF), a simple, robust, scalable and accessible workflow that provides a resolution of up to 25 nm using LED-based widefield microscopy. ExSRRF enables molecular profiling of subcellular structures from archival formalin-fixed paraffin-embedded tissues in complex clinical and experimental specimens, including ischaemic, degenerative, neoplastic, genetic and immune-mediated disorders. Furthermore, as examples of its potential application to experimental and clinical pathology, we show that ExSRRF can be used to identify and quantify classical features of endoplasmic reticulum stress in the murine ischaemic kidney and diagnostic ultrastructural features in human kidney biopsies.
Bibliografische Daten
Originalsprache | Englisch |
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ISSN | 1748-3387 |
DOIs | |
Status | Veröffentlicht - 04.2023 |
Anmerkungen des Dekanats
© 2023. The Author(s).
PubMed | 37037895 |
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