Quantitative analysis of neuronal and vascular networks

Discover the benefits of using FAIR (Finable, Accessible, Interoperable, and Reusable) techniques when quantifying scientific image data. Our presenters will introduce MBF Bioscience’s suite of software tools for viewing, presenting, and analyzing experimental data in diverse anatomical regions. We will provide a practical demonstration of how to use automated image segmentation tools in Neurolucida 360 for qualitative and quantitative analysis by addressing real experimental questions using confocal, light sheet or micro-CT images. They will also show how SPARC (Stimulating Peripheral Activity to Relieve Conditions) researchers utilize organ and species-specific terminology lists from the SciCrunch ontology database for FAIR anatomical annotation in Neurolucida 360, and Vesselucida 360.

In this workshop, you will learn how:
• To use automated and semi-automated image segmentation tools in Neurolucida 360 and Vesselucida 360
• To obtain morphometric data from image segmentation files using Neurolucida Explorer
• To access large datasets using the Biolucida big image data server
• The latest SPARC integrations in MBF software can make your data more findable, accessible, interoperable, and reusable by incorporating FAIR data principles

Question Title

* 1. Name

Question Title

* 2. Academic Institution/Company

Question Title

* 3. Primary Research Area of Interest

Question Title

* 4. Email Address

0 of 4 answered
 

T