Evidence map›Paper›PMID 33114904›Full record

ArticleOptics express2020

Volumetric chemical imaging in vivo by a remote-focusing stimulated Raman scattering microscope.

Peng Lin, Hongli Ni, Huate Li, Nicholas A Vickers, Yuying Tan, Ruyi Gong, Thomas Bifano, Ji-Xin Cheng

Open access · goldAbstract read
In one paragraph

Article in Optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Imaging-based evaluation of lipids in the stratum corneum by label-free stimulated Raman scattering microscopy.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023
    Article
  7. Article
  8. Article
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

8 authors.

Peng Lin
Hongli Ni
Huate Li
Nicholas A Vickers
Yuying Tan
Ruyi Gong
Thomas Bifano
Ji-Xin Cheng

Funding

Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living SystemsR35GM136223 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, JI-XIN · 2020 to 2025
$5.7M
High-throughput high-content single cell analysis by multichannel stimulatedRaman flow cytometryR01GM118471 · NIGMS · PURDUE UNIVERSITY · PI CHENG, JI-XIN · 2016 to 2019
$1.6M
NIGMS NIH HHS R01 GM118471NIGMS NIH HHS R35 GM136223
6 · The paper itself

Abstract

Operable under ambient light and providing chemical selectivity, stimulated Raman scattering (SRS) microscopy opens a new window for imaging molecular events on a human subject, such as filtration of topical drugs through the skin. A typical approach for volumetric SRS imaging is through piezo scanning of an objective lens, which often disturbs the sample and offers a low axial scan rate. To address these challenges, we have developed a deformable mirror-based remote-focusing SRS microscope, which not only enables high-quality volumetric chemical imaging without mechanical scanning of the objective but also corrects the system aberrations simultaneously. Using the remote-focusing SRS microscope, we performed volumetric chemical imaging of living cells and captured in real time the dynamic diffusion of topical chemicals into human sweat pores.

Indexed as

AlgorithmsHumansMolecular ImagingNonlinear Optical MicroscopyPancreatic NeoplasmsSpectrum Analysis, RamanTumor Cells, Cultured

Identifiers

PMID33114904
PMCPMC7679187
OpenAlexW3089024331

What OpenQuestion holds

Textmetadata
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.