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A Lesson in High-Content Image Analysis with Beth Cimini, Ph.D.
Manage episode 349506872 series 3279354
In this episode, we're joined by Broad Institute Senior Group Leader and Head of the Cimini Lab Imaging Platform Beth Cimini, Ph.D., for a lesson in high-content image analysis! Cimini is a subject matter expert who shares her knowledge to explain how high-content image analysis works and how it pertains to cell painting.
Key Learning Points:
- The types of research high-content imaging is ideal for
- The process of developing an assay for a high-content imaging approach
- What you need to know to use high-content imaging in your research
About Beth Cimini, Ph.D.
Cimini is a senior group leader, CZI imaging scientist and the head of the Cimini Lab in the Imaging Platform at the Broad Institute in Cambridge, MA. After completing her undergraduate research in visual neuroscience at Boston University, Cimini obtained a Ph.D. in Biochemistry and Molecular Biology at the University of California San Francisco, where she studied the difference between splicing variants of the telomere master scaffolding protein TIN2. She created and directs the Platform's Postdoctoral Training Program in Bioimage Analysis, and also leads the Broad efforts toward community engagement and driving biological projects for the Center for Open Bioimage Analysis.
Stay connected with SLAS:
About SLAS:
SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building. For more information about SLAS, visit www.slas.org.
SLAS publishes two peer-reviewed and MEDLINE-indexed scientific journals, SLAS Discovery and SLAS Technology. For more information about SLAS and its journals, visit www.slas.org/publications.
For Students:
Visit the SLAS S
Upcoming SLAS Events:
SLAS 2024 Data Sciences and AI Symposium
- November 12-13, 2024
- Cambridge, MA, USA
SLAS2025 International Conference and Exhibition
- January 25-29, 2025
- San Diego, CA, USA
SLAS Europe 2025 Conference and Exhibition
- 20-22 May 2025
- Hamburg, Germany
178 つのエピソード
Manage episode 349506872 series 3279354
In this episode, we're joined by Broad Institute Senior Group Leader and Head of the Cimini Lab Imaging Platform Beth Cimini, Ph.D., for a lesson in high-content image analysis! Cimini is a subject matter expert who shares her knowledge to explain how high-content image analysis works and how it pertains to cell painting.
Key Learning Points:
- The types of research high-content imaging is ideal for
- The process of developing an assay for a high-content imaging approach
- What you need to know to use high-content imaging in your research
About Beth Cimini, Ph.D.
Cimini is a senior group leader, CZI imaging scientist and the head of the Cimini Lab in the Imaging Platform at the Broad Institute in Cambridge, MA. After completing her undergraduate research in visual neuroscience at Boston University, Cimini obtained a Ph.D. in Biochemistry and Molecular Biology at the University of California San Francisco, where she studied the difference between splicing variants of the telomere master scaffolding protein TIN2. She created and directs the Platform's Postdoctoral Training Program in Bioimage Analysis, and also leads the Broad efforts toward community engagement and driving biological projects for the Center for Open Bioimage Analysis.
Stay connected with SLAS:
About SLAS:
SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building. For more information about SLAS, visit www.slas.org.
SLAS publishes two peer-reviewed and MEDLINE-indexed scientific journals, SLAS Discovery and SLAS Technology. For more information about SLAS and its journals, visit www.slas.org/publications.
For Students:
Visit the SLAS S
Upcoming SLAS Events:
SLAS 2024 Data Sciences and AI Symposium
- November 12-13, 2024
- Cambridge, MA, USA
SLAS2025 International Conference and Exhibition
- January 25-29, 2025
- San Diego, CA, USA
SLAS Europe 2025 Conference and Exhibition
- 20-22 May 2025
- Hamburg, Germany
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