Free Live Webinars
Stereology "Free-For-All" Webinar
This no cost webinar provides a succinct (2-hr), interactive overview of basic stereology with specific emphasis on the most popular applications to neural tissues.
Learning Objectives
- After completion of the Unbiased Stereology webinar, you should be able to:
- Explain how stereology contributes to advances in modern medical science.
- Define different factors to consider for studies using unbiased stereology.
- Discuss how computerized stereology can contribute to your stereology projects in scientific papers, grant proposals, and regulatory documents.
- Understand how computerized stereology systems collect data in an accurate, precision and efficient manner.
- Recognize options for using the Stereologer® system or outsource your project to our Stereology CRO.
Video excerpt from the webinar
Below is an example of computerized stereology for quantifying total cell number (left) and total fiber length (right).
Speaker
The monthly webinar will be presented by stereologist Peter R. Mouton, Ph.D., Director and Chief Scientific Officer of SRC Biosciences, a company dedicated to the development and dissemination of accurate, precise, and efficient methods for stereology analysis of biological tissues. Currently, he is leading an NSF and NIH funded effort to develop the first deep learning-based analysis of stained cells on tissue sections using unbiased methods (automatic stereology).
Overview
The monthly Stereology Webinar comprises two learning modules and a practical application module.
Learning Module Part 1
- Overview of the principles and practices of unbiased stereology:
- The adaptation of stereology practices to current research protocols and computerized systems.
- Bias mitigation in stereology systems through systematic sampling and unbiased probes such as the optical disector and optical fractionator.
- State-of-the-art manual and automatic stereology software.
- Experts discuss applications of unbiased stereology to neutral tissue.
Learning Module Part 2
- In depth discussion of region volume and cell number and density in stereology analysis:
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Optimize sampling for maximal efficiency:
- How many animals?
- How many tissue sections?
- How many probes for Number, Surface Area, Volume and Length?
- Analyzing sampling variation in stereology data.
Practical Application Module
Demonstrations and insight into computerized stereology of neural tissue, based on training in parts one and two.