Evidence map›Paper›PMID 39718816›Full record

ArticleZebrafish2025

An Image Processing Tool for Automated Quantification of Bacterial Burdens in Zebrafish Larvae.

Naoya Yamaguchi, Hideo Otsuna, Michal Eisenberg-Bord, Lalita Ramakrishnan

Abstract read
In one paragraph

Article in Zebrafish, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Naoya YamaguchiDepartment of Medicine, Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, University of Cambridge, Cambridge, UK.
Hideo OtsunaJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Michal Eisenberg-BordDepartment of Medicine, Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, University of Cambridge, Cambridge, UK.
Lalita RamakrishnanDepartment of Medicine, Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, University of Cambridge, Cambridge, UK.

Funding

Host-Responses to Mycobacterium Infection in ZebrafishR37AI054503 · NIAID · UNIVERSITY OF WASHINGTON · PI RAMAKRISHNAN, LALITA · 2012 to 2021
$3.1M
NIAID NIH HHS R37 AI054503Wellcome Trust 223103Wellcome Trust 223103/Z/21/Z
6 · The paper itself

Abstract

Zebrafish larvae are used to model the pathogenesis of multiple bacteria. This transparent model offers the unique advantage of allowing quantification of fluorescent bacterial burdens (fluorescent pixel counts [FPC])

Indexed as

Bacterial LoadFish DiseasesImage Processing, Computer-AssistedMycobacterium Infections, NontuberculousMycobacterium marinumZebrafishAnimalsLarvazebrafish infection model/image analysis

Identifiers

PMID39718816
PMCPMC11971606

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.