Webinar: Collaborative Image Analysis in the Cloud for Improved Reproducibility and High Scalability

Date: 12/10/2020
Time: 12pm EST

Register here for this ISAC hosted webinar: http://cytou.peachnewmedia.com/store/seminar/seminar.php?seminar=165187

Presenters: Dr. Peter Bajcsy, Dr. Nathan Hotaling and Dr. Sreenivas Bhattiprolu
ABSTRACT: According to a recent survey by Nature, more than 70% of researchers have tried and failed to reproduce another scientist’s experiments. Many factors contributing towards irreproducibility can be addressed via automation and collaborative work. Computer cloud provides the right infrastructure to automate image analysis tasks, especially for resource intensive applications. Cloud also enables collaborative work with its importance being even more emphasized during this covid-19 pandemic since it makes data and software applications accessible from any location and from any networked device. This webinar further explains the benefits of cloud-based image analysis and introduces the audience to two platforms that facilitate automation and collaborative work with microscopy images. These two platforms have been independently developed by ZEISS and NIST/NIH, respectively. The presentation will go over the main features of the two platforms that run computational workflows formed by software containers that are interoperable. The discussion will include a variety of commercial and open source aspects in developing and using such platforms.

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