Education Materials
Recorded Presentations from SBI2 Conferences
Educational Sessions
Special Colloquium:
- 2024: Cytodata Society
- 2023: JUMP Consortium
Podium Presentations
Introductory Material and Best Practices in High-Content Imaging
Presentations and discussions focused on Best Practices & Unmet Needs to address these selected challenges in high content imaging practices.
2024 Educational Sessions
2024 Vendor Presentations
Advancements in multiplexed spatial phenotyping: Applications using the EVOS S1000 Spatial Imaging System
Thermo Fisher Scientific | Leticia Montoya
View this contentFrom Data Complexity to Research Confidence: Streamline Your Workflows and Ensure Reproducibility with ZEISS arivis Solutions
Carl Zeiss Microscopy | Brennan McFarland
View this contentCombining HCA Imaging with Binary AI to Identify Modulators of Neurite Outgrowth
Araceli | Claudia McCown (Scripps)
View this contentMultiplexed electrical imaging as a tool to study live cell phenotypes in high throughput
CytoTronics | Shalaka Chitale
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2023 Educational Sessions
Intro to High Content Imaging (complex models/assays focus)
Educational Sessions 2023
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Paul Johnston | University of PittsburghPrinciples of Assay Development: Best Practices for 3D and OOC Models
Educational Session 2023
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Joe Trask | Revvity
2023 JUMP Colloquium
Optimizing the Cell Painting Assay for JUMP
2023 JUMP Consortium Colloquium
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Sakshi Garg | Merck Healthcare KGaAThe JUMP Cell Painting Dataset
2023 JUMP Consortium Colloquium
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Niranj Chandrasekaran | Broad InstituteWhat is Cell Painting and What Can It Do?
2023 JUMP Consortium Colloquium
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Shantanu Singh | Broad Institute
2023 Vendor Presentations
Integrated Spatial Multiomic Approaches to Biomarker Discovery and Tissue Phenotyping
Lunch & Learn
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Robert Pinard | Miltenyi BiotecFlexible End-to-End Solutions for Spatial Biology Workflows with ZEISS Imaging and Analysis Platforms
Lunch & Learn
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Kevin O’Keefe | Carl ZeissScale up and automate your 3D cell culture research
Lunch & Learn
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Angeline Lim | Molecular DevicesIntroduction to Thermo Fisher Scientific High-Content Screening Technologies
Keynote Spotlight
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Neil Durso
2019 High Content courses
Data dimensionality reduction: PCA, t-SNE, UMAP
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