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. 2025 Jul;15(7):e70390.
doi: 10.1002/ctm2.70390.

Clinical translation potential of self-inspired live-cell super-resolution microscopy

Liying Qu  1 , Jingyang Zhu  1 , Xiangyan Ding  1 , Haoyu Li  1 , Weisong Zhao  1
Affiliations

Clinical translation potential of self-inspired live-cell super-resolution microscopy

Liying Qu et al. Clin Transl Med. 2025 Jul.
No abstract available

Keywords: clinical translation; live‐cell imaging; self‐supervised learning; super‐resolution microscopy.

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Figures

FIGURE 1
FIGURE 1
Clinical translational potential of the Self‐inspired Noise2Noise (SN2N)‐enhanced live‐cell super‐resolution microscopy. The SN2N framework (centre) is compatible with various super‐resolution microscopy modalities (e.g., spinning‐disc confocal‐based structured illumination microscopy [SD‐SIM], stimulated emission depletion [STED], SR optical fluctuation imaging reconstruction [SOFI], structured illumination microscopy [SIM], expansion microscopy [ExM]). By improving photon efficiency by one to two orders of magnitude, SN2N enables high‐fidelity imaging under reduced illumination, minimising phototoxicity and photobleaching. This facilitates diverse clinical research applications, including: (A) Live‐cell imaging of photosensitive samples (e.g., patient‐derived biopsies) with minimised phototoxicity for long‐term observation of disease progression and therapeutic responses. (B) Enabling extended, high‐resolution observation of dynamic processes like mitosis, offering insights into chromosomal instability mechanisms relevant to therapeutic strategies for chromosomal disorders. (C) Visualising subtle morphological and dynamic alterations for elucidating early diagnostic markers in diseases. (D) Improving high‐throughput drug screening and target validation by allowing accurate assessment of compound effects on cellular architecture and biomolecular interactions with minimal phototoxic perturbation. Schematics were created with BioRender.com.
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