Evidence map›Paper›PMID 40463128›Full record

ArticlebioRxiv : the preprint server for biology2025

VaMiAnalyzer: An open source, python-based application for analysis of 3D

Stephen P G Moore, Xinyu Zhang, Olivia Chika Jonathan, Anqi Zou, Deborah Lang, Chao Zhang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Stephen P G MooreDepartment of Dermatology, Boston University School of Medicine, Boston, MA, USA.
Xinyu ZhangDepartment of Computer Science, Northeastern University, Boston, MA, USA.
Olivia Chika JonathanDepartment of Dermatology, Boston University School of Medicine, Boston, MA, USA.
Anqi ZouSection of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Deborah LangDepartment of Dermatology, Boston University School of Medicine, Boston, MA, USA.ORCID 0000-0003-1057-0923
Chao ZhangSection of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.ORCID 0000-0001-8019-7998

Funding

NRSA Training CoreTL1TR001410 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOTTON, DARRELL N. · 2015 to 2024
$4.3M
NCATS NIH HHS TL1 TR001410
6 · The paper itself

Abstract

Background: Vasculogenic mimicry (VM) is the phenomenon whereby non-vascular tumor cells develop vascular-like structures. VM is linked to more aggressive tumor phenotypes including higher rates of metastasis and invasion and is potentially resistant to anti-angiogenic cancer therapies. VM is investigated Results: To address this limitation, we developed an open source, python-based application, VaMiAnalyzer, allowing straightforward quantification of several VM structural features. The application follows a two-step approach that optionally corrects and enhances the raw input images and then analyzes and quantifies the VM features. Conclusions: VaMiAnalyzer is stand-alone software that allows automated measurement of VM structural features from phase-contrast microscopy images. It produces results that are strongly consistent with manual counts but in a significantly shorter time, allowing speedy, non-biased analysis of VM from microscopy images.

Identifiers

PMID40463128
PMCPMC12132516

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.