Evidence map›Paper›PMID 37068745›Full record

ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2023

Digital Histopathology by Infrared Spectroscopic Imaging.

Rohit Bhargava

Open access · hybridAbstract readReview
In one paragraph

Review in Annual review of analytical chemistry (Palo Alto, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
19.3field-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

38 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  3. PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026
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  14. Review
  15. Bond-Selective Imaging at the Frontier of Biomedicine.Chemical & biomedical imaging · 2025
    Article
  16. Review
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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

1 author at 1 institution in 1 country.

Rohit BhargavaDepartment of Bioengineering; Department of Electrical and Computer Engineering; Department of Mechanical Science and Engineering; Department of Chemical and Biomolecular Engineering; Department of Chemistry; Cancer Center at Illinois; and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; email: rxb@illinois.edu.
University of Illinois Urbana-Champaign · 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
Real time colon histopathology by infrared spectroscopic imagingR01CA260830 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BHARGAVA, ROHIT · 2021 to 2025
$2.3M
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 R01 CA260830NCI NIH HHS R21 CA263147NIBIB NIH HHS P41 EB031772NIBIB NIH HHS R01 EB009745NIGMS NIH HHS R01 GM142172
6 · The paper itself

Abstract

Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra, enabling a comprehensive measurement of the chemical makeup and heterogeneity of biological tissues. Combining this novel contrast mechanism in microscopy with the use of artificial intelligence can transform the practice of histopathology, which currently relies largely on human examination of morphologic patterns within stained tissue. First, this review summarizes IR imaging instrumentation especially suited to histopathology, analyses of its performance, and major trends. Second, an overview of data processing methods and application of machine learning is given, with an emphasis on the emerging use of deep learning. Third, a discussion on workflows in pathology is provided, with four categories proposed based on the complexity of methods and the analytical performance needed. Last, a set of guidelines, termed experimental and analytical specifications for spectroscopic imaging in histopathology, are proposed to help standardize the diversity of approaches in this emerging area.

Indexed as

Artificial IntelligenceMicroscopyColoring AgentsHumansMachine LearningSpectrophotometry, InfraredColoring Agentschemical imagingdeep learningdigital pathologyimaginginfrared spectroscopymachine learning

Identifiers

PMID37068745
PMCPMC10408309
OpenAlexW4366137380

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.