Evidence map›Paper›PMID 35521971›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Super-Resolution Vibrational Imaging Using Expansion Stimulated Raman Scattering Microscopy.

Lixue Shi, Aleksandra Klimas, Brendan Gallagher, Zhangyu Cheng, Feifei Fu, Piyumi Wijesekara, Yupeng Miao, Xi Ren, Yongxin Zhao, Wei Min

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
14.0field-weighted citation impact, top 1% of its field
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

33 citing papers in PubMed, 58 citations in OpenAlex.

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  10. Bond-Selective Imaging at the Frontier of Biomedicine.Chemical & biomedical imaging · 2025
    Article
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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

10 authors at 2 institutions in 1 country.

Lixue ShiDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.ORCID 0000-0001-9712-5800
Aleksandra KlimasDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15143, USA.
Brendan GallagherDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15143, USA.
Zhangyu ChengDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15143, USA.
Feifei FuDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15143, USA.
Piyumi WijesekaraDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15143, USA.
Yupeng MiaoDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Xi RenDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15143, USA.
Yongxin ZhaoDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15143, USA.
Wei MinDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Carnegie Mellon University · USColumbia University · US

Funding

THE SYNAPTIC TYPE LANDSCAPE OF ALZHEIMER'S DISEASE VISUALIZED BY MULTIPLEX EXPANSION SYNAPTIC NANOSCOPYDP2EB028111 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI ZHAO, YONGXIN · 2018 to 2022
$2.6M
High-resolution volumetric imaging of metabolic activity in tissues and its application to tumor metabolismR01EB029523 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2020 to 2023
$1.6M
Super-multiplex vibrational imaging in living cellsR01GM128214 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2018 to 2021
$1.5M
Ultrahigh-resolution and single-molecule stimulated Raman scattering (SRS) microscopyR01GM132860 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MIN, WEI · 2019 to 2022
$1.3M
Carnegie Mellon UniversityDSF Charitable FoundationNIBIB NIH HHS DP2 EB028111NIBIB NIH HHS R01 EB029523NIGMS NIH HHS R01 GM128214NIGMS NIH HHS R01 GM132860NIH HHS DP2 OD025926-01NIH HHS R01 EB029523NIH HHS R01 GM128214NIH HHS R01 GM132860U.S. Department of Defense DoD VR190139
6 · The paper itself

Abstract

Stimulated Raman scattering (SRS) microscopy is an emerging technology that provides high chemical specificity for endogenous biomolecules and can circumvent common constraints of fluorescence microscopy including limited capabilities to probe small biomolecules and difficulty resolving many colors simultaneously. However, the resolution of SRS microscopy remains governed by the diffraction limit. To overcome this, a new technique called molecule anchorable gel-enabled nanoscale Imaging of Fluorescence and stimulated Raman scattering microscopy (MAGNIFIERS) that integrates SRS microscopy with expansion microscopy (ExM) is described. MAGNIFIERS offers chemical-specific nanoscale imaging with sub-50 nm resolution and has scalable multiplexity when combined with multiplex Raman probes and fluorescent labels. MAGNIFIERS is used to visualize nanoscale features in a label-free manner with CH vibration of proteins, lipids, and DNA in a broad range of biological specimens, from mouse brain, liver, and kidney to human lung organoid. In addition, MAGNIFIERS is applied to track nanoscale features of protein synthesis in protein aggregates using metabolic labeling of small metabolites. Finally, MAGNIFIERS is used to demonstrate 8-color nanoscale imaging in an expanded mouse brain section. Overall, MAGNIFIERS is a valuable platform for super-resolution label-free chemical imaging, high-resolution metabolic imaging, and highly multiplexed nanoscale imaging, thus bringing SRS to nanoscopy.

Indexed as

Nonlinear Optical MicroscopyVibrationAnimalsHumansMiceMicroscopyProteinsSpectrum Analysis, RamanProteinschemical imagingexpansion microscopyhighly multiplexed nanoscale imagingmetabolic imagingRaman nanoscopy

Identifiers

PMID35521971
PMCPMC9284179
OpenAlexW4229034535

What OpenQuestion holds

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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 OpenQuestion graph.