English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Summary: In functional imaging studies, accurately synchronizing the timecourse of experimental manipulations and stimulus presentations with resultingimaging data is crucial for analysis. Current software tools lack suchfunctionality, requiring manual processing of the experimental and imagingdata, which is error-prone and potentially non-reproducible. We present VoDEx,an open-source Python library that streamlines the data management and analysisof functional imaging data. VoDEx synchronizes the experimental timeline andevents (eg. presented stimuli, recorded behavior) with imaging data. VoDExprovides tools for logging and storing the timeline annotation, and enablesretrieval of imaging data based on specific time-based and manipulation-basedexperimental conditions.  Availability and Implementation: VoDEx is an open-source Python library andcan be installed via the "pip install" command. It is released under a BSDlicense, and its source code is publicly accessible on GitHubhttps://github.com/LemonJust/vodex. A graphical interface is available as anapari-vodex plugin, which can be installed through the napari plugins menu orusing "pip install." The source code for the napari plugin is available onGitHub https://github.com/LemonJust/napari-vodex.

VoDEx: a Python library for time annotation and management of volumetric functional imaging data