Evidence map›Paper›PMID 37253290›Full record

ReviewCurrent opinion in structural biology2023

Expansion microscopy: A chemical approach for super-resolution microscopy.

Yinyin Zhuang, Xiaoyu Shi

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. ONE microscopy.Nature protocols · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yinyin ZhuangDepartment of Developmental and Cell Biology, University of California, Irvine, CA 92697, USA. Electronic address: https://twitter.com/YinyinZhuang.
Xiaoyu ShiDepartment of Developmental and Cell Biology, University of California, Irvine, CA 92697, USA; Department of Chemistry, University of California, Irvine, CA 92697, USA; Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA. Electronic address: xiaoyu.shi@uci.edu.

Funding

Gel-based Optical-isolation Single-Cell 3D Spatial MultiomicsDP2GM150017 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SHI, XIAOYU · 2022 to 2025
$2.6M
Elucidating How Primary Cilia Regulate Hedgehog Signaling by Super-Resolution MicroscopyR00GM126136 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SHI, XIAOYU · 2020 to 2022
$746k
Elucidating How Primary Cilia Regulate Hedgehog Signaling by Super-Resolution MicroscopyK99GM126136 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHI, XIAOYU · 2018 to 2019
$128k
NIGMS NIH HHS DP2 GM150017NIGMS NIH HHS K99 GM126136NIGMS NIH HHS R00 GM126136
6 · The paper itself

Abstract

Super-resolution microscopy is a series of imaging techniques that bypass the diffraction limit of resolution. Since the 1990s, optical approaches, such as single-molecular localization microscopy, have allowed us to visualize biological samples from the sub-organelle to the molecular level. Recently, a chemical approach called expansion microscopy emerged as a new trend in super-resolution microscopy. It physically enlarges cells and tissues, which leads to an increase in the effective resolution of any microscope by the length expansion factor. Compared with optical approaches, expansion microscopy has a lower cost and higher imaging depth but requires a more complex procedure. The integration of expansion microscopy and advanced microscopes significantly pushed forward the boundary of super-resolution microscopy. This review covers the current state of the art in expansion microscopy, including the latest methods and their applications, as well as challenges and opportunities for future research.

Indexed as

Single Molecule ImagingMicroscopy, Fluorescence

Identifiers

PMID37253290
PMCPMC11103276

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.