2024 Spatial Biology Summit
Agenda
Playlist of all recorded talks here
Tuesday, September 10, 2024
Location: LKSC Berg Hall
7:30am
8:30am
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8:45am
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9:10am
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9:35am
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10:00am
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10:15am​
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​10:30am​
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11:00am
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11:25am
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11:50am
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12:05pm
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12:20pm​​​​
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12:35pm
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2:00pm
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2:25pm​
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5:00pm
Check-in and Registration
Introduction (Mike Angelo)​
Session 1: Applications of Spatial Biology I
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Erin McCaffrey (NIH) [video]​​​
​Mapping the immunotopography and cellular networks of TB granulomas
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Jonathan T.C. Liu (University of Washington) [video]
Nondestructive 3D pathology and analysis - a new perspective on cancer
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Livnat Jerby (Stanford University)
​From mapping to redirecting cell response and location
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Noah Greenwald (Mike Angelo lab, Stanford University) [video]
​Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition
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Hiroshi Ichise (Ron Germain lab, NIH)​
​Highly multiplex volumetric imaging Ce3D-IBEX reveals commensal-induced vagus-associated lymphoid tissues in the lung
Break​
Session 2: Mass Spectrometry Imaging
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Ramon Sun (University of Florida)
​Blueprint towards understanding the entire metabolic landscape in 2D and 3D
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Kylie Bemis (Northeastern University) [video]
​Scaling spatially-aware machine learning for mass spectrometry imaging analysis in R
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Danielle Scott (Peggi Angel lab, Medical University of South Carolina)
​Linking Spatial Distribution of Core Fucosylated N-Glycans to Triple Negative Breast Cancer Outcomes
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Benedikt Geier (Manuel Amieva lab, Stanford University)
​Spatial Metabolomics of Low-Abundant Microbial Metabolites in a Novel Organoid Infection Model
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Jake Griner (Sylvia Guglietta lab, Medical University of South Carolina)​
​Overcoming the Resolution Gap — Integration of Imaging Mass Cytometry and Mass Spectrometry Imaging
Lunch​
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Lunaphore (Rizwan Alam)​
Session 2: Mass Spectrometry Imaging
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Angela Kruse (Jeff Spraggins lab, Vanderbilt University)
​Unveiling the diverse molecular landscape of human disease using multimodal imaging
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Laura Sanchez (UC Santa Cruz) [video]​
​Mass Spectrometry Applications for Studying Ovarian Cancer
​
Happy Hour at the Rose & Crown
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547 Emerson St, Palo Alto
Wednesday, September 11, 2024
Location: LKSC Berg Hall
​​​​​
8:30am
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8:55am
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​
9:20am
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​
9:35am
​
​
9:50am​
​
​
​10:05am​
​
10:30am​​​​
​
10:55am
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​
​
11:10am
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11:35am
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​
11:50am​​​​​
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​​​
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1:30pm​​​​
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1:45pm
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2:00pm​
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2:25pm​​
3:00pm
4:30pm
Session 3: Methods in Spatial Biology
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Faisal Mahmood (Harvard University) [video]
​Multimodal, Generative and Agentic AI for Tissue Image Analysis
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Denis Schapiro (Heidelberg University Hospital)
​From oncology to cardiology: Spatial omics technologies for topographic biomarker discovery
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Edward Schrom (Ron Germain lab, NIH) [video]
​Spatial Patterning Analysis of Cellular Ensembles (SPACE) discovers complex spatial organization at the cell and tissue levels
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Jolene Ranek (Mike Angelo lab, Stanford University)
​QUICHE reveals structural definitions of anti-tumor responses in triple negative breast cancer
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Alex Wong (Peter Sorger lab, Harvard University)
​3D Cyclic Immunofluorescence in Cleared Intact Epithelial Tissues with High - Plex Light-Sheet Microscopy
Break​
Session 3: Methods in Spatial Biology
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David Van Valen (Caltech) [video]
​Foundation Models for Spatial Biology
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Yuqi Tan (Garry Nolan lab, Stanford University)​
​SPACEc: A Streamlined, Interactive Python Workflow for Multiplexed Image Processing and Analysis
Session 4: Spatial Transcriptomics
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Ken Chen (MD Anderson Cancer Center) [video]
​LSGI: Interpretable Spatial Gradient Analysis for Spatial Transcriptomics Data
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Izabella Zamora (Nir Hacohen lab, Broad Institute) [video]​
​PlastiNet: Understanding the Epithelial - Mesenchymal Transition Through Graphical Attention in Spatial Transcriptomics
Lunch​
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RareCyte (Magdalena Matusiak, Stanford University)​
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Glencoe Software (Erin Diel)
Session 4: Spatial Transcriptomics​
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Roy Maimon (Don Cleveland lab, UCSD) [video]
​Cajal Challenge Accepted: Generating New Neurons in the Aging Brain
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Emily Thomas (Daniel Royston and Jens Rittscher labs, University of Oxford) [video]
​Spatial mapping of the human bone marrow in health and disease​​
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Long Cai (Caltech)
​What do we learn from spatial?
Break
Poster session lightning talks
Poster session
Thursday, September 12, 2024
Location: LKSC Berg Hall
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8:30am
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​8:55am
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9:20am
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​
9:45am
​
10:00am
​
10:30am​
​
​
​10:45am​​​​​​​
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11:00am
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11:25am
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11:50am
​Session 5: Applications of Spatial Biology II
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Garry Nolan (Stanford University)​
​Abstract Cell Groupings at the TME and the Rise of the Machines
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Guolan Lu (Stanford University)
​Integrating Spatial Omics with Drug Imaging to Dissect Mechanisms of Drug Resistance in Solid Tumors
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Felix Hartmann (German Cancer Research Center (DKFZ))
​Spatial quantification of cellular metabolism in the human tumor microenvironment
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Inna Averbukh (Mike Angelo lab, Stanford University)​
​Topological encoding of risk in ductal carcinoma in situ
Break​
​Session 5: Applications of Spatial Biology II
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Cigdem Ak (Cancer Early Detection Advanced Research (CEDAR) Center, Oregon Health and Science University) [video]
​Spatial Analysis of Androgen Receptor's Role in Prostate Cancer Across Multiple Scales
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Bryan Cannon (Sean Bendall lab, Stanford University) [video]
​Multimodal mapping of activated microglia in health & Alzheimer's Disease
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Sizun Jiang (Harvard University) [video]​
​Lessons Learnt from Spatial. Also, do we really need everything everywhere at once?
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Emma Lundberg (Stanford University)
​Decoding human cell and tissue architectures - from spatial proteomics to whole cell modelling
Wrap-up (Sean Bendall)​​