Evidence map›Paper›PMID 33139997›Full record

ArticleQuantitative imaging in medicine and surgery2020

Real-time three-dimensional histology-like imaging by label-free nonlinear optical microscopy.

Yi Sun, Sixian You, Xiaoxi Du, Allison Spaulding, Z George Liu, Eric J Chaney, Darold R Spillman, Marina Marjanovic, Haohua Tu, Stephen A Boppart

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Detecting drug-induced nephrotoxicity using simultaneous label-free autofluorescence multiharmonic microscopy.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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  5. Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy.Journal of visualized experiments : JoVE · 2025
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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.

Yi SunBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Sixian YouBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Xiaoxi DuBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Allison SpauldingBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Z George LiuCarle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Eric J ChaneyBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Darold R SpillmanBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Marina MarjanovicBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Haohua TuBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Stephen A BoppartBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
University of Illinois Urbana-Champaign · USIllinois College · US

Funding

Intraoperative Polarization-Sensitive OCT for Assessing Breast Tumor MarginsR01CA213149 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2017 to 2021
$2.4M
Optical Amplification Microscopy of Weak Back-Scattered LightR01EB023232 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2016 to 2019
$1.8M
NCI NIH HHS R01 CA213149NIBIB NIH HHS R01 EB023232
6 · The paper itself

Abstract

backgroundThe current gold-standard formalin-fixed and paraffin-embedded (FFPE) histology typically requires several days for tissue fixing, embedding, sectioning, and staining to provide depth-resolved tissue feature visualization. During these time- and labor- intense processes, the

methodsA simultaneous label-free autofluorescence multiharmonic (SLAM) microscope is used to conduct

resultsVarious histological correlations are identified with high similarities for the color-converted histology-like SLAM microscopy images. By applying the color transforming algorithm on real-time SLAM image sequences and 3D SLAM image stacks, we report, for the first time and to the best our knowledge, real-time 3D histology-like imaging. Furthermore, the quantified N/C ratio of the cells in the SLAM image are overlaid on the converted histology-like image as a new image contrast.

conclusionsWe demonstrated real-time 3D histology-like imaging and its future potential using SLAM microscopy aided by color remapping and deep-learning-based feature segmentation.

Indexed as

cancer diagnosticsdeep learningDigital pathologydigital staininglabel-freevirtual histology

Identifiers

PMID33139997
PMCPMC7547261
OpenAlexW3083703195

What OpenQuestion holds

Textmetadata
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Registered trials

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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.