Super-resolution radial fluctuations (SRRF): a versatile and accessible tool for live-cell nanoscopy.
Super-resolution radial fluctuation (SRRF) microscopy is a novel computational imaging technique that bypasses the optical diffraction limit (lateral resolutions of 200–300 nm), achieving lateral resolutions of approximately 50–100 nm while being compatible with live-cell imaging. Unlike traditional...
| Publicado en: | Histochemistry & Cell Biology Vol. 163; no. 1; pp. 1 - 16 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
6/18/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186015925&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186015925 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09486143 NQI jtl: Histochemistry & Cell Biology issn: 09486143 maglogo: N pubinfo: dt: 6/18/2025 vid: 163 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 186015925 10.1007/s00418-025-02396-z 186015925 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Super-resolution radial fluctuations (SRRF): a versatile and accessible tool for live-cell nanoscopy. aug: au: Fang, Sanhua Liu, Li Yang, Dan Liu, Shuangshuang Huang, Qiong affil: https://ror.org/00a2xv884 Core Facilities, Zhejiang University School of Medicine, 310058, Hangzhou, China sug: ab: Super-resolution radial fluctuation (SRRF) microscopy is a novel computational imaging technique that bypasses the optical diffraction limit (lateral resolutions of 200–300 nm), achieving lateral resolutions of approximately 50–100 nm while being compatible with live-cell imaging. Unlike traditional super-resolution methods such as stimulated emission depletion (STED) and single molecule localization microscopy (SMLM), SRRF minimizes phototoxicity and hardware complexity by analyzing fluorescence intensity fluctuations in standard wide-field microscopy data. This is achieved by calculating local gradient convergence ("radiality") across time-series images, enabling the reconstruction of sub-diffraction structures without specialized fluorophores or high-intensity illumination. Implemented through the open-source NanoJ-SRRF platform, SRRF optimizes parameters like ring radius and radiality magnification to enhance resolution, suppress noise, and maintain computational efficiency. Its advantages include low phototoxicity, compatibility with conventional dyes, and integration with various imaging modalities, allowing dynamic visualization of subcellular processes (e.g., mitochondrial fission, microtubule dynamics). Despite its limitations in axial resolution and potential artifacts in high-density structures, recent advancements like enhanced SRRF (eSRRF) and variance reweighted radial fluctuations and enhanced SRRF (VeSRRF) address these challenges, facilitating real-time, multicolor imaging. Applications range from ultrastructural studies to clinical pathology, with future developments in AI processing and multimodal integration promising further enhancements in imaging capabilities. SRRF stands to significantly impact the understanding of dynamic subcellular processes and biomedical research. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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