2022 Workshop for Large-Scale Scientific Imaging

Stock image of the milky way galaxy

2022 Workshop for Large-Scale Scientific Imaging

June 16, 2022 - May 17, 2022

On June 16th and June 17th, the Scientific Software Engineering Center (SSEC) at JHU hosted its inaugural workshop on large-scale scientific imaging in conjunction with the launch of the SSEC, operating as part of the broad AI-X effort and funded by Schmidt Futures.


The area of large-scale scientific imaging forms one of the pillars of the emerging AI revolution in science, as the explosion of scientific data is mostly due to the advancement of imaging technologies.

This topic is the common thread across almost all scientific disciplines, cancer research, medicine, including radiology, brain research, astronomy, climate observations, materials science, cell biology. Furthermore large scale numerical simulations can create ultra-high-resolution images of observable phenomena—from turbulence to climate models and ocean circulation patterns.

The difficulty arises in that most of these data sets are well past the Terabyte scale with even mid-scale instruments capable of generating several petabytes per year. Currently the handling of these data sets is balkanized, mostly done in a one-off fashion by the experiments.

This workshop brought together different research communities to address these outstanding problems, discuss commonalities, identify differences, and discover how one can use better economies of scale in creating and managing such large image archives. The goal is that the collated, cross-disciplinary knowledge will lead to develop ways to interface these image archives to existing AI environments and shorten the path to create novel AI applications for training and inference.

Below is a list of the speakers who presented at the workshop, along with access to select speakers’ slide decks.


Please note: these videos are unlisted on YouTube and are not available via any search methods. The only way to access the SSEC presentation content is via the links here.

Session 1

K.T. Ramesh, Whiting School of Engineering

Alex Szalay, Krieger School of Arts & Sciences, IDIES
Introduction (PDFPPT)

Denis Wirtz, Whiting School of Engineering
CODA: 3D reconstruction of tumors and whole organs and organisms at single-cell resolution using AI

Mitra Taheri, Department of Material Science & Engineering
Microscopy as a Platform to Accelerate Machine Learning

Charles Meneveau, Department of Mechanical Engineering & IDIES
Democratizing access to massive high-fidelity simulation data in fluid turbulence (PDF)

Ian Dobbie, Krieger School of Arts & Sciences, Biology
Fluorescence microscopy from simple imaging to big data (PDF)

Left/Top(mobile): Denis Wirtz explaining the process for reconstructing tumors and organs down to the individual cell using AI; Right/Bottom(mobile): Ian Dobbie presenting on fluorescence microscopy

Session 2

Alex Baras, School of Medicine
Challenges, opportunities, and ultimately the promise of what a digital transformation holds for histopathology (PPT)

Andrew J Connolly, Univ Washington
Searching below the noise: hunting for asteroids in astronomical data (PDF,PPT)

Brian Caffo, Bloomberg School of Public Health
Density regression for functional MRI connectomics (PDF)

David Elbert, Hopkins Extreme Materials Institute (HEMI)
Image Scale and Speed in High-Throughput Materials Discovery and Autonomous Experimentation

Nick Andresen, School of Medicine
Generating a Temporal Bone Image Database for Studying Hearing and Balance Disorders (PPT)

Session 3

Janis Taube, School of Medicine
AstroPath: Astronomy accelerates Pathology (PDF)

Ani Thakar, Krieger School of Arts & Sciences, IDIES
SDSS: The Imaging Survey That Started It All (PDF)

Mike Miller, Biomedical Engineering
Molecular Computational Anatomy: Biomedical Data Science at Scale

Brandon Lane, National Institute of Standards and Technology
Image-based In-situ Process Monitoring Data from Laser Powder Bed Fusion (LPBF) Additive Manufacturing

Elana Fertig, School of Medicine
Inferring spatial tumor and immune interactions with SpaceMarkers (PDF)

Janis Taube speaking on the Astropath platform and its considerations going forward

Session 4

Wilfred Ngwa, School of Medicine
Image-guided drug delivery with Biomaterial drones during radiotherapy (PDF)

Thomas Haine, Earth & Planetary Sciences
Visualizing Ocean Circulation Model Solutions (PDFKEY)

Duncan Sousa School of Medicine, Beckman Center for CryoEM
Cryo-EM: High Throughput Data Acquisition and Processing (PDFPPT)

Sarah Jordaan, School of Advanced International Studies
Solving problems at the interface of land and energy infrastructure*

Gerard Lemson, Krieger School of Arts & Sciences, IDIES
Indexing Big Data in the Database: Cosmological Simulations and Image Archives* (PDF)

*Not included in YouTube recordings