ArticleFrontiers in neuroanatomy2018
A Computational Synaptic Antibody Characterization Tool for Array Tomography.
Article in Frontiers in neuroanatomy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Data-driven synapse classification reveals a logic of glutamate receptor diversity.bioRxiv : the preprint server for biology · 2025Article
- Developing a Toolbox of Antibodies Validated for Array Tomography-Based Imaging of Brain Synapses.eNeuro · 2023Article
- Developing a Toolbox of Antibodies Validated for Array Tomography-Based Imaging of Brain Synapses.bioRxiv : the preprint server for biology · 2023Article
- SynQuant: an automatic tool to quantify synapses from microscopy images.Bioinformatics (Oxford, England) · 2020Article
- Multifaceted Changes in Synaptic Composition and Astrocytic Involvement in a Mouse Model of Fragile X Syndrome.Scientific reports · 2019Article
- Effects of early life stress on cocaine conditioning and AMPA receptor composition are sex-specific and driven by TNF.Brain, behavior, and immunity · 2019Article
- Q&A: Array tomography.BMC biology · 2018Article
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Authors and funding
7 authors.
Funding
Abstract
Application-specific validation of antibodies is a critical prerequisite for their successful use. Here we introduce an automated framework for characterization and screening of antibodies against synaptic molecules for high-resolution immunofluorescence array tomography (AT). The proposed Synaptic Antibody Characterization Tool (SACT) is designed to provide an automatic, robust, flexible, and efficient tool for antibody characterization at scale. SACT automatically detects puncta of immunofluorescence labeling from candidate antibodies and determines whether a punctum belongs to a synapse. The molecular composition and size of the target synapses expected to contain the antigen is determined by the user, based on biological knowledge. Operationally, the presence of a synapse is defined by the colocalization or adjacency of the candidate antibody punctum to one or more reference antibody puncta. The outputs of SACT are automatically computed measurements such as target synapse density and target specificity ratio that reflect the sensitivity and specificity of immunolabeling with a given candidate antibody. These measurements provide an objective way to characterize and compare the performance of different antibodies against the same target, and can be used to objectively select the antibodies best suited for AT and potentially for other immunolabeling applications.
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