Evidence map›Paper›PMID 35154852›Full record

ArticleBiomedical optics express2022

Fast hybrid optomechanical scanning photoacoustic remote sensing microscopy for virtual histology.

Brendon S Restall, Brendyn D Cikaluk, Matthew T Martell, Nathaniel J M Haven, Rohan Mittal, Sveta Silverman, Lashan Peiris, Jean Deschenes, Benjamin A Adam, Adam Kinnaird and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 9 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

11 authors at 1 institution in 1 country.

Brendon S RestallUniversity of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada.ORCID https://orcid.org/0000-0001-6410-7657
Brendyn D CikalukUniversity of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada.
Matthew T MartellUniversity of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada.ORCID https://orcid.org/0000-0001-9927-894X
Nathaniel J M HavenUniversity of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada.ORCID https://orcid.org/0000-0002-1090-5503
Rohan MittalDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada.
Sveta SilvermanLaboratory Medicine, Misericordia Hospital, Edmonton, Canada.
Lashan PeirisDivision of Department of Surgery, University of Alberta, Edmonton, Canada.
Jean DeschenesDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada.
Benjamin A AdamDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada.
Adam KinnairdDivision of Urology, Department of Surgery, University of Alberta, Edmonton, Canada.
Roger J ZempUniversity of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada.ORCID https://orcid.org/0000-0001-6802-5624
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid scanning microscopy method for hematoxylin and eosin (H&E) like images is sought after for interoperative diagnosis of solid tumor margins. The rapid observation and diagnosis of histological samples can greatly lower surgical risk and improve patient outcomes from solid tumor resection surgeries. Photoacoustic remote sensing (PARS) has recently been demonstrated to provide images of virtual H&E stains with excellent concordance with true H&E staining of formalin-fixed, paraffin embedded tissues. By using PARS with constant velocity and 1D galvanometer mirror scanning we acquire large virtual H&E images (10mm x 5mm) of prostate tissue in less than 3.5 minutes without staining, and over two orders of magnitude faster data acquisition than the current PARS imaging speed.

Identifiers

PMID35154852
PMCPMC8803023
OpenAlexW3217055566

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.