Evidence map›Paper›PMID 41917209›Full record

ArticleNpj imaging2026

Label-free whole slide virtual multi-staining using dual-excitation photon absorption remote sensing microscopy.

James E D Tweel, Benjamin R Ecclestone, James A Tummon Simmons, Parsin Haji Reza

Erratum issuedAbstract read
In one paragraph

Article in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

James E D TweelPhotoMedicine Labs, Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Benjamin R EcclestonePhotoMedicine Labs, Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
James A Tummon SimmonsPhotoMedicine Labs, Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Parsin Haji RezaPhotoMedicine Labs, Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada. phajireza@uwaterloo.ca.

Funding

Canada Foundation for Innovation JELF #38000Centre for Bioengineering and Biotechnology CBB Seed fundillumiSonics SRA #083181Mitacs Accelerate IT13594Natural Sciences and Engineering Research Council of Canada DGECR-2019-00143, RGPIN2019-06134, DH-2023-00371New Frontiers in Research Fund -- Exploration NFRFE-2019-01012The Canadian Institutes of Health Research CIHR PJT 185984
6 · The paper itself

Abstract

Histochemical staining is essential for visualizing tissue architecture but is destructive and limited by tissue availability. Virtual staining with label-free microscopy offers a non-destructive alternative, enabling multiple stains from the same section. We present a dual-excitation Photon Absorption Remote Sensing (PARS) microscopy system, the first application of 355 nm UVA alongside 266 nm UVC excitation. The 355 nm source extends PARS contrast to include red blood cells, melanin, and enhanced stromal architecture through complementary radiative and non-radiative absorption. Using the RegGAN framework, we demonstrate the first PARS virtual staining across routine (H&E) and specialized (Masson's trichrome, PAS, Jones methenamine silver) stains in human and murine tissues. Quantitative metrics show dual-excitation improves virtual stain similarity over single-wavelength inputs. A masked evaluation by expert pathologists provides an initial, coarse assessment indicating that virtual stains achieve ratings on a visual diagnostic quality scale comparable to chemical counterparts under limited evaluation conditions. These results support dual-excitation PARS as a promising non-destructive approach for multi-stain virtual histology. Corresponding whole-slide image pairs are available at the BioImage Archive ( https://doi.org/10.6019/S-BIAD2232 ).

Identifiers

PMID41917209
PMCPMC13039327

What OpenQuestion holds

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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.