Evidence map›Paper›PMID 39909716›Full record

ArticleeNeuro2025

Bell Jar: A Semiautomated Registration and Cell Counting Tool for Mouse Neurohistology Analysis.

Alec L R Soronow, Matthew W Jacobs, Richard G Dickson, Euiseok J Kim

Abstract read
In one paragraph

Article in eNeuro, 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

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

4 authors.

Alec L R SoronowDepartment of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, California 95064.
Matthew W JacobsDepartment of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, California 95064.
Richard G DicksonDepartment of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, California 95064.
Euiseok J KimDepartment of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, California 95064 asoronow@ucsc.edu ekim62@ucsc.edu.ORCID https://orcid.org/0000-0002-8271-2209

Funding

IRACDA at UCSC and CSUMBK12GM139185 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI FORSBERG, CAMILLA, HINCK, LINDSAY E · 2020 to 2024
$4.1M
Developmental Mechanisms of Fine-scale Cortico-cortical Circuit FormationR01NS128771 · NINDS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Euiseok J Kim · 2023 to 2026
$1.7M
Diversity Supplement for a STEM diversity trainee in the labRF1MH132591 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KIM, EUISEOK J · 2023 to 2024
$1.3M
NIGMS NIH HHS K12 GM139185NIMH NIH HHS RF1 MH132591NINDS NIH HHS R01 NS128771
6 · The paper itself

Abstract

For comprehensive anatomical analysis of a mouse brain, accurate and efficient registration of the experimental brain samples to a reference atlas is necessary. Here, we introduce Bell Jar, a semiautomated solution that can align and annotate tissue sections with anatomical structures from a reference atlas as well as detect fluorescent signals with cellular resolution (e.g., cell bodies or nuclei). Bell Jar utilizes Mattes mutual information-directed B-spline transformations to achieve precise alignments, even with damaged sample tissues. While user input remains a requirement for fine-tuning section matches, the platform streamlines the process, aiding rapid analyses in high-throughput neuroanatomy studies. As a standalone desktop application with a user-friendly interface, Bell Jar's performance, which surpasses traditional manual and existing automated methods, can improve the reproducibility and throughput of histological analyses.

Indexed as

BrainImage Processing, Computer-AssistedNeuroanatomySoftwareAnimalsAtlases as TopicCell CountMiceMice, Inbred C57BLReproducibility of Resultsalignmentatlas registrationbrain mappingcell detectioncell quantificationneuroanatomy

Identifiers

PMID39909716
PMCPMC11801229

What OpenQuestion holds

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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.