Evidence map›Paper›PMID 33154496›Full record

ArticleScientific reports2020

Reflection-mode virtual histology using photoacoustic remote sensing microscopy.

Kevan Bell, Saad Abbasi, Deepak Dinakaran, Muba Taher, Gilbert Bigras, Frank K H van Landeghem, John R Mackey, Parsin Haji Reza

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. The potential of x-ray virtual histology in the diagnosis of skin tumors.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors at 2 institutions in 1 country.

Kevan BellDepartment of Systems Design Engineering, PhotoMedicine Labs, University of Waterloo, E7-6416 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.
Saad AbbasiDepartment of Systems Design Engineering, PhotoMedicine Labs, University of Waterloo, E7-6416 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.
Deepak DinakaranDepartment of Systems Design Engineering, illumiSonics, Inc., University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Muba TaherDivision of Dermatology, Department of Medicine, University of Alberta, Edmonton, AB, T6G 2V1, Canada.
Gilbert BigrasDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2V1, Canada.
Frank K H van LandeghemDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2V1, Canada.
John R MackeyDepartment of Oncology, University of Alberta, Edmonton, AB, T6G 1Z2, Canada.
Parsin Haji RezaDepartment of Systems Design Engineering, PhotoMedicine Labs, University of Waterloo, E7-6416 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada. phajireza@uwaterloo.ca.
University of Alberta · CAUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histological visualizations are critical to clinical disease management and are fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive tissue preparation prior to imaging. These processes are both labor intensive and contribute to creating significant delays in clinical feedback for treatment decisions that can extend to 2-3 weeks for standard paraffin-embedded tissue preparation and interpretation, especially if ancillary testing is needed. Here, we present the first comprehensive study on the broad application of a novel label-free reflection-mode imaging modality known as photoacoustic remote sensing (PARS) for visualizing salient subcellular structures from various common histopathological tissue preparations and for use in unprocessed freshly resected tissues. The PARS modality permits non-contact visualizations of intrinsic endogenous optical absorption contrast to be extracted from thick and opaque biological targets with optical resolution. The technique was examined both as a rapid assessment tool that is capable of managing large samples (> 1 cm

Indexed as

Photoacoustic TechniquesRemote Sensing TechnologyAnimalsHumansKidneyMiceMicroscopySkinStaining and Labeling

Identifiers

PMID33154496
PMCPMC7644651
OpenAlexW3087263134

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.