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VoDEx: a Python library for time annotation and management of volumetric functional imaging data.
Nadtochiy, Anna; Luu, Peter; Fraser, Scott E; Truong, Thai V.
Afiliação
  • Nadtochiy A; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, United States.
  • Luu P; Translational Imaging Center, University of Southern California, Los Angeles, CA 90089, United States.
  • Fraser SE; Translational Imaging Center, University of Southern California, Los Angeles, CA 90089, United States.
  • Truong TV; Division of Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, United States.
Bioinformatics ; 39(9)2023 Sep 02.
Article em En | MEDLINE | ID: mdl-37699009
ABSTRACT

SUMMARY:

In functional imaging studies, accurately synchronizing the time course of experimental manipulations and stimulus presentations with resulting imaging data is crucial for analysis. Current software tools lack such functionality, requiring manual processing of the experimental and imaging data, which is error-prone and potentially non-reproducible. We present VoDEx, an open-source Python library that streamlines the data management and analysis of functional imaging data. VoDEx synchronizes the experimental timeline and events (e.g. presented stimuli, recorded behavior) with imaging data. VoDEx provides tools for logging and storing the timeline annotation, and enables retrieval of imaging data based on specific time-based and manipulation-based experimental conditions. AVAILABILITY AND IMPLEMENTATION VoDEx is an open-source Python library and can be installed via the "pip install" command. It is released under a BSD license, and its source code is publicly accessible on GitHub (https//github.com/LemonJust/vodex). A graphical interface is available as a napari-vodex plugin, which can be installed through the napari plugins menu or using "pip install." The source code for the napari plugin is available on GitHub (https//github.com/LemonJust/napari-vodex). The software version at the time of submission is archived at Zenodo (version v1.0.18, https//zenodo.org/record/8061531).

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos