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2024 Spatial Biology Summit

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Agenda

Playlist of all recorded talks here

Tuesday, September 10, 2024

Location: LKSC Berg Hall

7:30am

8:30am

​​​

8:45am

9:10am

9:35am

10:00am

10:15am

​10:30am

11:00am

11:25am

11:50am

12:05pm

12:20pm​

12:35pm

2:00pm

2:25pm​

5:00pm

Check-in and Registration

Introduction (Mike Angelo)

Session 1: Applications of Spatial Biology I

  • Erin McCaffrey (NIH) [video]​​

Mapping the immunotopography and cellular networks of TB granulomas

  • Jonathan T.C. Liu (University of Washington) [video]

Nondestructive 3D pathology and analysis - a new perspective on cancer

  • Livnat Jerby (Stanford University)

​From mapping to redirecting cell response and location

  • Noah Greenwald (Mike Angelo lab, Stanford University) [video]

​Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition

  • 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

  • Ramon Sun (University of Florida)

​Blueprint towards understanding the entire metabolic landscape in 2D and 3D

  • Kylie Bemis (Northeastern University) [video]

​Scaling spatially-aware machine learning for mass spectrometry imaging analysis in R

  • Danielle Scott (Peggi Angel lab, Medical University of South Carolina)

Linking Spatial Distribution of Core Fucosylated N-Glycans to Triple Negative Breast Cancer Outcomes

  • Benedikt Geier (Manuel Amieva lab, Stanford University)

​Spatial Metabolomics of Low-Abundant Microbial Metabolites in a Novel Organoid Infection Model

  • Jake Griner (Sylvia Guglietta lab, Medical University of South Carolina)

​Overcoming the Resolution Gap — Integration of Imaging Mass Cytometry and Mass Spectrometry Imaging

Lunch

  • Lunaphore (Rizwan Alam)

Session 2: Mass Spectrometry Imaging

  • Angela Kruse (Jeff Spraggins lab, Vanderbilt University)

​Unveiling the diverse molecular landscape of human disease using multimodal imaging

  • Laura Sanchez (UC Santa Cruz) [video]

​Mass Spectrometry Applications for Studying Ovarian Cancer

Happy Hour at the Rose & Crown

  • 547 Emerson St, Palo Alto

Wednesday, September 11, 2024

Location: LKSC Berg Hall

​​​

8:30am

8:55am

9:20am

9:35am

9:50am

​10:05am

10:30am

10:55am

11:10am

11:35am

11:50am

1:30pm

1:45pm

2:00pm​

2:25pm​

3:00pm

4:30pm

Session 3: Methods in Spatial Biology

  • Faisal Mahmood (Harvard University) [video]

Multimodal, Generative and Agentic AI for Tissue Image Analysis

  • Denis Schapiro (Heidelberg University Hospital)

​From oncology to cardiology: Spatial omics technologies for topographic biomarker discovery

  • Edward Schrom (Ron Germain lab, NIH) [video]

​Spatial Patterning Analysis of Cellular Ensembles (SPACE) discovers complex spatial organization at the cell and tissue levels

  • Jolene Ranek (Mike Angelo lab, Stanford University)

​QUICHE reveals structural definitions of anti-tumor responses in triple negative breast cancer

  • 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

  • David Van Valen (Caltech) [video]

​Foundation Models for Spatial Biology

  • Yuqi Tan (Garry Nolan lab, Stanford University)

​SPACEc: A Streamlined, Interactive Python Workflow for Multiplexed Image Processing and Analysis

Session 4: Spatial Transcriptomics

  • Ken Chen (MD Anderson Cancer Center) [video]

​LSGI: Interpretable Spatial Gradient Analysis for Spatial Transcriptomics Data

  • Izabella Zamora (Nir Hacohen lab, Broad Institute) [video]

​PlastiNet: Understanding the Epithelial - Mesenchymal Transition Through Graphical Attention in Spatial Transcriptomics

Lunch

  • RareCyte (Magdalena Matusiak, Stanford University)

  • Glencoe Software (Erin Diel)

Session 4: Spatial Transcriptomics

  • Roy Maimon (Don Cleveland lab, UCSD) [video]

​Cajal Challenge Accepted: Generating New Neurons in the Aging Brain

  • Emily Thomas (Daniel Royston and Jens Rittscher labs, University of Oxford) [video]

​Spatial mapping of the human bone marrow in health and disease​​

  • Long Cai (Caltech) 

​What do we learn from spatial?

Break

Poster session lightning talks

Poster session

Thursday, September 12, 2024

Location: LKSC Berg Hall

8:30am

​8:55am

 

​​​

9:20am

9:45am

10:00am

10:30am

 

​10:45am

11:00am

11:25am

11:50am

Session 5: Applications of Spatial Biology II

  • Garry Nolan (Stanford University)

​Abstract Cell Groupings at the TME and the Rise of the Machines

  • Guolan Lu (Stanford University)

​Integrating Spatial Omics with Drug Imaging to Dissect Mechanisms of Drug Resistance in Solid Tumors

  • Felix Hartmann (German Cancer Research Center (DKFZ))

​Spatial quantification of cellular metabolism in the human tumor microenvironment

  • Inna Averbukh (Mike Angelo lab, Stanford University)

​Topological encoding of risk in ductal carcinoma in situ

Break

Session 5: Applications of Spatial Biology II

  • 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

  • Bryan Cannon (Sean Bendall lab, Stanford University) [video]

​Multimodal mapping of activated microglia in health & Alzheimer's Disease

  • Sizun Jiang (Harvard University) [video]

​Lessons Learnt from Spatial. Also, do we really need everything everywhere at once?

  • Emma Lundberg (Stanford University)

Decoding human cell and tissue architectures - from spatial proteomics to whole cell modelling

Wrap-up (Sean Bendall)​​

Thank you to our generous sponsors!

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