Evidence map›Paper›PMID 42282531›Full record

ArticlebioRxiv : the preprint server for biology2026

A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging of

Parsa Safaeian, Tasnuva Binte Mahbub, Rhythem Tahrin, Mohammad Tanha, Mark W Pellegrino, Salman Sohrabi

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

6 authors.

Parsa SafaeianDepartment of Bioengineering, The University of Texas at Arlington, Arlington, TX 76019, USA.
Tasnuva Binte MahbubDepartment of Bioengineering, The University of Texas at Arlington, Arlington, TX 76019, USA.
Rhythem TahrinDepartment of Bioengineering, The University of Texas at Arlington, Arlington, TX 76019, USA.
Mohammad TanhaDepartment of Biology, The University of Texas at Arlington, Arlington, TX 76019, USA.
Mark W PellegrinoDepartment of Biology, The University of Texas at Arlington, Arlington, TX 76019, USA.
Salman SohrabiDepartment of Bioengineering, The University of Texas at Arlington, Arlington, TX 76019, USA.

Funding

Decoupling reproductive and somatic aging using novel C. elegans technologyR15AG089221 · NIA · UNIVERSITY OF TEXAS ARLINGTON · PI Salman Sohrabi · 2025 to 2026
$513k
NIA NIH HHS R15 AG089221
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceautomation platformsC. eleganscomputer visionimage processingmicrofluidics

Identifiers

PMID42282531
PMCPMC13252091

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.