Evidence map›Paper›PMID 37626026›Full record

ArticleNature communications2023

Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging.

Kevin Yeh, Ishaan Sharma, Kianoush Falahkheirkhah, Matthew P Confer, Andres C Orr, Yen-Ting Liu, Yamuna Phal, Ruo-Jing Ho, Manu Mehta, Ankita Bhargava and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
15.4field-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

23 citing papers in PubMed, 43 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Kevin YehBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-7012-7483
Ishaan SharmaBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0009-0004-7498-5444
Kianoush FalahkheirkhahBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0003-2781-2693
Matthew P ConferBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-0856-3583
Andres C OrrBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Yen-Ting LiuBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-5768-0516
Yamuna PhalBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-2602-7012
Ruo-Jing HoBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Manu MehtaDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0009-0004-8445-0806
Ankita BhargavaUniversity of Illinois Laboratory High School, Urbana, IL, 61801, USA.
Wenyan MeiDepartment of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, 61802, USA.
Georgina ChengCancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-8999-6750
John C ChevilleDepartment of Laboratory Medicine and Pathology, College of Medicine and Science, Mayo Clinic, Rochester, MN, 55905, USA.
Rohit BhargavaBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. rxb@illinois.edu.ORCID http://orcid.org/0000-0001-7360-994X
University of Illinois Urbana-Champaign · USCarle Foundation Hospital · USMayo Clinic · US

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Discrete Frequency Infrared Spectroscopic Imaging for Breast HistopathologyR01EB009745 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BHARGAVA, ROHIT · 2010 to 2025
$5.1M
Mechanistic studies to develop a polysaccharide degradation signature (PDS) and its application in improving host healthR01GM140306 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CANN, ISAAC, MEI, WENYAN · 2020 to 2023
$2.2M
Instrument development for vibrational circular dichroism imagingR01GM142172 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BHARGAVA, ROHIT · 2021 to 2024
$1.6M
Spectroscopy Assisted Laser MicrodissectionR21CA263147 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BHARGAVA, ROHIT · 2021 to 2023
$508k
NCI NIH HHS R21 CA263147NIBIB NIH HHS P41 EB031772NIBIB NIH HHS R01 EB009745NIGMS NIH HHS R01 GM140306NIGMS NIH HHS R01 GM142172
6 · The paper itself

Abstract

Chemical imaging, especially mid-infrared spectroscopic microscopy, enables label-free biomedical analyses while achieving expansive molecular sensitivity. However, its slow speed and poor image quality impede widespread adoption. We present a microscope that provides high-throughput recording, low noise, and high spatial resolution where the bottom-up design of its optical train facilitates dual-axis galvo laser scanning of a diffraction-limited focal point over large areas using custom, compound, infinity-corrected refractive objectives. We demonstrate whole-slide, speckle-free imaging in ~3 min per discrete wavelength at 10× magnification (2 μm/pixel) and high-resolution capability with its 20× counterpart (1 μm/pixel), both offering spatial quality at theoretical limits while maintaining high signal-to-noise ratios (>100:1). The data quality enables applications of modern machine learning and capabilities not previously feasible - 3D reconstructions using serial sections, comprehensive assessments of whole model organisms, and histological assessments of disease in time comparable to clinical workflows. Distinct from conventional approaches that focus on morphological investigations or immunostaining techniques, this development makes label-free imaging of minimally processed tissue practical.

Indexed as

CulturePlastic Surgery ProceduresData AccuracyMachine LearningMicroscopy, Confocal

Identifiers

PMID37626026
PMCPMC10457288
OpenAlexW4386157101

What OpenQuestion 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 OpenQuestion graph.