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Updated: May 26, 2026

Preparing Adult Drosophila melanogaster for Whole Brain Imaging during Behavior and Stimuli Responses

Preparing Adult Drosophila melanogaster for Whole Brain Imaging during Behavior and Stimuli Responses

Published on: April 27, 2021

The Virtual Fly Brain browser and query interface.

Nestor Milyaev¹, David Osumi-Sutherland, Simon Reeve

¹School of Informatics, University of Edinburgh, Edinburgh, UK.

Bioinformatics (Oxford, England)

|December 20, 2011

Summary

This study introduces Virtual Fly Brain, an online resource for querying Drosophila brain anatomy, expression, and genetic data. It offers an integrated search mechanism and a 3D interface for exploring fly brain structure and neuron data.

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Area of Science:

Neuroscience
Bioinformatics
Computational Biology

Background:

Drosophila neuroscience data is fragmented across diverse sources, hindering integrated analysis.
A comprehensive anatomical framework and intuitive interface are lacking for efficient data retrieval.

Purpose of the Study:

To develop an integrated online resource for studying and querying Drosophila brain anatomy, expression, and genetic data.
To provide a user-friendly interface for exploring the fly brain's complex structure and associated data.

Main Methods:

Developed a logically structured ontology based on the BrainName nomenclature for the adult fly brain.
Integrated community databases for anatomy, cells, expression, and genetic information.
Created a 3D visualization interface for browsing brain structure with data overlays.

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

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Published on: March 10, 2011

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Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

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Main Results:

Introduced Virtual Fly Brain, an online resource consolidating diverse Drosophila neuroscience data.
The ontology links published neuron classes to their innervated brain regions.
An integrated query mechanism enables complex searches across multiple data types.

Conclusions:

Virtual Fly Brain provides a centralized and accessible platform for Drosophila neuroscience research.
The resource facilitates integrated analysis of brain anatomy, cellular, and genetic data.
This tool enhances the study of fly brain structure and function.