Evidence map›Paper›PMID 42104007›Full record

ReviewNature protocols2026

Implementation of an adaptive-optics assisted isoSTED nanoscope.

Yang Li, Dong-Ryoung Lee, Edward S Allgeyer, Lena K Schroeder, Shijie Tu, Joerg Bewersdorf, Xiang Hao

Abstract readReview
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yang Li *Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2413-7875
Dong-Ryoung Lee *School of Mechanical Engineering, Soongsil University, Seoul, Republic of Korea.
Edward S AllgeyerThe Gurdon Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-2187-4423
Lena K SchroederCellular Imaging Shared Resource, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2660-0904
Shijie TuState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.
Joerg BewersdorfDepartment of Cell Biology, Yale School of Medicine, New Haven, CT, USA. joerg.bewersdorf@yale.edu.ORCID http://orcid.org/0000-0002-4085-7020
Xiang HaoState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China. haox@zju.edu.cn.ORCID http://orcid.org/0000-0002-3931-6884

Funding

Yale Cooperative Hematology Specialized Core CenterU54DK106857 · NIDDK · YALE UNIVERSITY · PI JOHN HWA, Diane S Krause · 2015 to 2026
$9.7M
National Research Foundation of Korea (NRF) RS-2023-00211106Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LR25F050002NIDDK NIH HHS U54 DK106857
6 · The paper itself

Abstract

In stimulated emission depletion (STED) nanoscopy, high 3D resolution requires harnessing a 4Pi architecture using two opposing objectives. Here, we provide the step-by-step process for the construction and alignment of a 4Pi-STED nanoscope, commonly referred to as an 'isoSTED nanoscope'. The procedure guides interested researchers through the assembly of the optomechanical components, the configuration of the electronic and control devices, the alignment of the optical beam path and the assessment of the instrument's performance. The protocol offers a detailed roadmap for constructing an isoSTED nanoscope with adaptive optics in about 12 months and is designed for users with expertise in optical instrumentation builds. Once the instrument is finely calibrated, researchers can expect to achieve 3D biological images with isotropic sub-50-nm resolution in thick samples ≤35 µm in depth.

Identifiers

PMID42104007
PMCPMC13635865

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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.