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2023 Spatial Biology Workshop

MIBI workshop 2023 v3.png

Agenda

Playlist of all recorded talks here

Monday, August 28, 2023

Location: LKSC Berg Hall

7:30am - 8:00am

8:00am - 8:20am

8:20am - 9:20am

 

 

 

 

9:20am - 9:45am

9:45am - 11:15am

 

 

 

 

 

 

 

 

 

11:15am - 12:00pm

12:00pm - 1:00pm

1:00pm - 2:00pm

5:00pm

Check-in and Registration

Introduction

  • Mike Angelo (Stanford University) [video]

Cell Detection and Classification

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

Segmentation of multiplexed imaging data

  • Candace Liu (Mike Angelo lab, Stanford University) [video]

Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering

Break

Cell Detection and Classification

  • Lorenz Rumberger (Kainmueller Lab, Max Delbrück Center for Molecular Medicine, Charité University Hospital) [video]

Nimbus: Improving cell phenotyping by factoring in sub-cellular marker expression patterns

  • Yuval Bussi (Leeat Keren lab, Weizmann Institute of Science) [video]

CellTune: A human-in-the-loop framework for efficient and accurate cell classification in multiplexed images

  • David Van Valen (Caltech) [video]

Everything as code

Role of pathologists in tissue studies

  • Albert Tsai (Stanford University) [video]

Concepts in histology and histopathologic diagnosis for researchers

Lunch

Workshop: H&E bootcamp

  • Albert Tsai (Stanford University) [video]

Happy Hour at the Rose & Crown

  • 547 Emerson St, Palo Alto

Tuesday, August 29, 2023

Location: LKSC Berg Hall

8:00am - 10:15am

 

 

 

 

10:15am - 10:40am

10:40am - 12:00pm

12:00pm - 1:00pm

1:00pm - 2:00pm

Applications of Spatial Biology I

  • Denise Kirschner (University of Michigan) [video]

The use of multi-scale computational modeling in spatial biology

  • Nils Gehlenborg (Harvard Medical School) [video]

Vitessce: A framework for visual exploration of spatial single-cell data

  • Russ Butler (AdventHealth University)

The role of micro-GIS in spatial biology

  • Sizun Jiang (Harvard Medical School)

Spatial-omics to interrogate host-disease interactions

  • Luca Marconato (Oliver Stegle lab, European Molecular Biology Laboratory) [video]

SpatialData, an open and universal framework for processing spatial omics data

Break

De Novo Mass Spectrometry

  • Jeff Spraggins (Vanderbilt University) [video]

Constructing integrated multimodal molecular atlases of the human kidney

  • Peggi Angel (Medical University of South Carolina) [video]

Decoding the matrix

  • Richard Drake (Medical University of South Carolina) [video]

Deciphering the glycan code of the tumor tissue microenvironment

  • Ke Leow (Mike Angelo lab, Stanford University) [video]

Multimodal MALDI imaging reveals pro-invasive N-glycans in placenta trophoblasts

Lunch

Seminar

  • Erin Diel (Head of Product, Glencoe Software) [video]

Managing and analyzing spatial data with OMERO Plus

Wednesday, August 30, 2023

Location: LKSC Berg Hall

8:00am - 9:20am

 

 

 

9:20am - 9:45am

9:45am - 12:00pm

 

12:00pm

The Scientific Spectrum of Spatial Analysis

  • Lauren Gillespie (Stanford University, Carnegie Institution for Science) [video]

Mapping plant communities across space and time using deep learning, citizen science, and remote sensing

  • Sean Gasiorowski (SLAC National Accelerator Laboratory) [video]

Neural fields and differentiable simulation for spatial analysis in atomic and particle physics

  • Akshay Chaudhari (Stanford University) [video]

Data efficient deep learning methods in radiology

Break

Applications of Spatial Biology II

  • Barbara Engelhardt (Stanford University, Gladstone Institutes) [video]

Designing experiments for atlas building

  • Emma Lundberg (Stanford University) [video]

Spatial proteome biology from subcellular to tissue level

  • John Hickey (Duke University) [video]

Spatial frameworks and tools for mapping the human intestine

  • Joakim Lundeberg (SciLifeLab, KTH Royal Institute of Technology) [video]

Spatial multiomics in a single tissue section

  • Inna Averbukh (Mike Angelo lab, Stanford University) [video]

A spatially resolved timeline of the human maternal–fetal interface

Conclusion

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