Topology-driven energy transfer networks for upconversion stimulated emission depletion microscopy.

Weizhao Gu, Simone Lamon, Haoyi Yu, Qiming Zhang, Min Gu

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Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Weizhao Gu *School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Simone Lamon *School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, 200093, China. simonelamon@usst.edu.cn.ORCID http://orcid.org/0000-0003-4455-565X

Haoyi YuSchool of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Qiming ZhangSchool of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, 200093, China. qimingzhang@usst.edu.cn.

Min GuSchool of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, 200093, China. gumin@usst.edu.cn.ORCID http://orcid.org/0000-0003-4078-253X

Funding

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6 · The paper itself

Abstract

Lanthanide-doped upconversion nanoparticles enable upconversion stimulated emission depletion microscopy with high photostability and low-intensity near-infrared continuous-wave lasers. Controlling energy transfer dynamics in these nanoparticles is crucial for super-resolution microscopy with minimal laser intensities and high photon budgets. However, traditional methods neglect the spatial distribution of lanthanide ions and its effect on energy transfer dynamics. Here, we introduce topology-driven energy transfer networks in lanthanide-doped upconversion nanoparticles for upconversion stimulated emission depletion microscopy with reduced laser intensities, maintaining a high photon budget. Spatial separation of Yb

Identifiers

PMID41339314

DOI10.1038/s41377-025-02054-y

PMCPMC12675517

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.