Evidence map›Paper›PMID 39255792›Full record

ArticleCell reports methods2024

SynBot is an open-source image analysis software for automated quantification of synapses.

Justin T Savage, Juan J Ramirez, W Christopher Risher, Yizhi Wang, Dolores Irala, Cagla Eroglu

Abstract read
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  16. Reprogramming of neuronal genome function and phenotype by astrocytes.bioRxiv : the preprint server for biology · 2026
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  17. Post-Critical Period Transcriptional and Physiological Adaptations of Primary Sensory Cortex after Sensory Loss.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Justin T SavageDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.
Juan J RamirezDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.
W Christopher RisherDepartment of Biomedical Sciences, Joan C. Edwards School of Medicine at Marshall University, Huntington, WV 25755, USA.
Yizhi WangBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Dolores IralaDepartment of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: dolores.irala@duke.edu.
Cagla ErogluDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA; Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA. Electronic address: cagla.eroglu@duke.edu.

Funding

Novel Genetically Encoded Indicators for Interrogating Neuron-Astrocyte Communication Across TimescalesU19NS123719 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI YU, GUOQIANG · 2021 to 2025
$10.7M
Investigating Sex Differences in Astrocyte-Mediated Synaptic DevelopmentR15MH126345 · NIMH · MARSHALL UNIVERSITY · PI RISHER, WILLIAM CHRISTOPHER · 2021 to 2021
$444k
How does neuronal contact mediate astrocyte transcriptional maturation?F31NS134252 · NINDS · DUKE UNIVERSITY · PI SAVAGE, JUSTIN · 2023 to 2025
$125k
NIMH NIH HHS R15 MH126345NINDS NIH HHS F31 NS134252NINDS NIH HHS U19 NS123719
6 · The paper itself

Abstract

The formation of precise numbers of neuronal connections, known as synapses, is crucial for brain function. Therefore, synaptogenesis mechanisms have been one of the main focuses of neuroscience. Immunohistochemistry is a common tool for visualizing synapses. Thus, quantifying the numbers of synapses from light microscopy images enables screening the impacts of experimental manipulations on synapse development. Despite its utility, this approach is paired with low-throughput analysis methods that are challenging to learn, and the results are variable between experimenters, especially when analyzing noisy images of brain tissue. We developed an open-source ImageJ-based software, SynBot, to address these technical bottlenecks by automating the analysis. SynBot incorporates the advanced algorithms ilastik and SynQuant for accurate thresholding for synaptic puncta identification, and the code can easily be modified by users. The use of this software will allow for rapid and reproducible screening of synaptic phenotypes in healthy and diseased nervous systems.

Indexed as

Image Processing, Computer-AssistedSoftwareSynapsesAlgorithmsAnimalsBrainHumansMiceNeuronsCP: ImagingCP: NeuroscienceFIJIimage analysisimmunofluorescencemachine learningmicroscopysynapse

Identifiers

PMID39255792
PMCPMC11440803

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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.