Evidence map›Paper›PMID 38950270›Full record

ArticleOptics letters2024

Axially swept open-top light-sheet microscopy for densely labeled clinical specimens.

Kevin W Bishop, Lindsey A Erion Barner, Elena Baraznenok, Lydia Lan, Chetan Poudel, David Brenes, Robert B Serafin, Lawrence D True, Joshua C Vaughan, Adam K Glaser and 1 more

Abstract read
In one paragraph

Article in Optics letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Prototype-based AI triage for 3D pathology.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. 3D pathology-guided microdissection.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. 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

11 authors.

Kevin W Bishop
Lindsey A Erion Barner
Elena Baraznenok
Lydia Lan
Chetan Poudel
David Brenes
Robert B Serafin
Lawrence D True
Joshua C Vaughan
Adam K Glaser
Jonathan T C Liu

Funding

Resource Development CoreU54DK137328 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Pierre C Dagher · 2023 to 2026
$4.5M
Prostate cancer risk stratification via computational 3D pathologyR01CA268207 · NCI · UNIVERSITY OF WASHINGTON · PI Jonathan T.C. Liu, Anant Madabhushi · 2022 to 2026
$3.1M
Instrumentation platform for 3D pathology with open-top light-sheet microscopyR01EB031002 · NIBIB · UNIVERSITY OF WASHINGTON · PI LIU, JONATHAN T.C. · 2021 to 2024
$1.9M
NCI NIH HHS R01 CA268207NIBIB NIH HHS R01 EB031002NIDDK NIH HHS U54 DK137328
6 · The paper itself

Abstract

Open-top light-sheet (OTLS) microscopy offers rapid 3D imaging of large optically cleared specimens. This enables nondestructive 3D pathology, which provides key advantages over conventional slide-based histology including comprehensive sampling without tissue sectioning/destruction and visualization of diagnostically important 3D structures. With 3D pathology, clinical specimens are often labeled with small-molecule stains that broadly target nucleic acids and proteins, mimicking conventional hematoxylin and eosin (H&E) dyes. Tight optical sectioning helps to minimize out-of-focus fluorescence for high-contrast imaging in these densely labeled tissues but has been challenging to achieve in OTLS systems due to trade-offs between optical sectioning and field of view. Here we present an OTLS microscope with voice-coil-based axial sweeping to circumvent this trade-off, achieving 2 µm axial resolution over a 750 × 375 µm field of view. We implement our design in a non-orthogonal dual-objective (NODO) architecture, which enables a 10-mm working distance with minimal sensitivity to refractive index mismatches, for high-contrast 3D imaging of clinical specimens.

Indexed as

Imaging, Three-DimensionalHumansLightMicroscopyStaining and Labeling

Identifiers

PMID38950270
PMCPMC13159442

What OpenQuestion holds

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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.