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Four landmark innovations in imaging have been recognized with recent Nobel Prizes — 3-D tomography/MRI, genetically encoded fluorescent proteins, super-resolution fluorescence microscopy, and atomic resolution electron microscopy. While none of these advances delivers cellular resolution deep in tissue, they do provide models for how such technical advances occur. Those new technologies were each developed collaboratively through interactions among physicists, chemists, engineers, software developers, biologists and clinicians. In the same manner, the goal of this Scialog will be to assemble approximately 50 early-career scientists with wide-ranging expertise who wish to apply their skills toward developing the next generation of imaging technologies that will enhance the ability to study tissues at cellular or sub-cellular resolution and to map biological processes within and throughout organisms.

2023 Team Awards

PETinIVIS: A Modular PET Insert to Enable Simultaneous Acquisition of Optical and PET Imaging Data in Small Animals 

  • Eszter Boros
    Chemistry
    University of Wisconsin – Madison 1
  • Shiva Abbaszadeh
    Electrical and Computer Engineering
    University of California, Santa Cruz 1

Developing Multi-Angle Synthesized Ultrasound Tomography

  • Shwetadwip Chowdhury
    Electrical and Computer Engineering
    University of Texas at Austin 2
  • Heather M. Whitney
    Radiology, University of Chicago 3

Specific and Quantitative MRI Imaging for Longitudinal Cell Fate Tracking

  • Dylan McCreedy
    Biology
    Texas A&M University, College Station 1
  • Fanny Chapelin
    Bioengineering
    University of California, San Diego 1

Quantitative, Spatially Resolved Analysis of Single-Cell and Single-Organelle Metabolism

  • Seunghyun (Seu) Sim
    Chemistry
    University of California, Irvine 1
  • Ruixuan Gao
    Chemistry and Biological Sciences
    University of Illinois Chicago 3
  • Shawn Davidson
    Medicine, Northwestern University 1

Exploring the Mechano-Metabolic Landscape of a Beating Ciliary Array 

  • Yi-Chih Lin
    Chemistry
    University of Texas at Austin 2
  • Nick Galati
    Biology, Western Washington University 2
  • Lingyan Shi
    Bioengineering
    University of California, San Diego 2

Sketch-Based Retrieval and Clustering of Neurons in Large Microscopy Data

  • Dylan McCreedy
    Biology
    Texas A&M University, College Station 2
  • Meghan Driscoll
    Pharmacology
    University of Minnesota Twin Cities 2

Quantum-Enhanced Fluorescent Imaging with Entangled Photons 

  • Scott Cushing
    Chemistry and Chemical Engineering
    California Institute of Technology 2
  • Jing Liu
    Physics
    Purdue University 2

3D Dynamics Quantification with Differential Dynamic Light-Field Microscopy 

  • Lei Tian
    Electrical and Computer Engineering
    Boston University 2
  • Ryan J. McGorty
    Physics and Biophysics
    University of San Diego 2

Beam Shaping Metasurfaces Using DNA Alignment and Liquid Crystals

  • Rosario Porras-Aguilar
    Physics & Optical Sciences
    University of North Carolina at Charlotte 1
  • Divita Mathur
    Chemistry
    Case Western Reserve University 1

Funded by RCSA & Frederick Gardner Cottrell Foundation
Funded by CZI
Funded by Walder Foundation

2022 Team Awards

Real-time AI for Programmable Training Arrays

  • Shiva Abbaszadeh
    Electrical and Computer Engineering
    University of California, Santa Cruz *

    Heather Whitney
    Radiology
    University of Chicago *

Making Lenses Smart for Optical Imaging and Beyond

  • Yevgenia Kozorovitskiy
    Neurobiology
    Northwestern University †

    Abdoulaye Ndao
    Electrical and Computer Engineering
    Boston University ^

Democratizing Access to Macroscopic Bioimaging

  • Joshua Brake
    Engineering
    Harvey Mudd College *

    Kevin Cash
    Chemical and Biological Engineering
    Colorado School of Mines *

Improving MRI Detection Limits

  • Mark Sellmyer
    Radiology
    University of Pennsylvania *        

    Arnab Mukherjee
    Chemical Engineering and Biological Engineering
    University of California, Santa Barbara *

MRI with Molecular Specificity for a New Realm of Neurodevelopmental Research

  • Kathryn Keenan
    Applied Physics Division
    National Institute of Standards and Technology ^

    Crystal Rogers
    Anatomy, Physiology, and Cell Biology
    University of California, Davis ^

    Ulugbek Kamilov
    Computer Science and Engineering
    Washington University in St. Louis ^

4D Imaging and Tracking to Resolve Organelle Form vs. Function

  • Alexandra Walsh
    Biomedical Engineering
    Texas A&M University, College Station *

    Johannes Schöneberg
    Pharmacology and Chemistry & Biochemistry
    University of California, San Diego *

Live tissue Clearing of Lymph Nodes Through Programmed Dendritic Cells

  • Ying Hu
    Chemistry
    University of Illinois at Chicago ^

    Seunghyun (Seu) Sim
    Chemistry
    University of California, Irvine ^

High-speed 4D Morphodynamic Analysis of Migrating Cells

  • Arnold Hayer
    Biology
    McGill University ^

    Rosario Porras-Aguilar
    Physics & Optical Sciences
    University of North Carolina at Charlotte ^

Transforming Imaging Collection in the Brain

  • Luke Mortensen
    Regenerative Bioscience Center / Chemical, Materials and Biomedical Engineering
    University of Georgia *  
                                          
    Huanyu Cheng
    Engineering Science and Mechanics
    Pennsylvania State University *        

In Situ Protein Sequencing by Multiplexed Real-Time Single Molecule Imaging

  • Stephen Yi
    Biomedical Engineering & Oncology
    University of Texas at Austin ^

    Ruixuan Gao
    Chemistry and Biological Sciences
    University of Illinois Chicago †

* Funded by CZI
^ Funded by RCSA/FGCF
† Funded by Walder Foundation

2021 Team Awards

NeedleScope: Developing the Smallest Microscope for Bioimaging

  • Aseema Mohanty
    Electrical and Computer Engineering
    Tufts University
  • Sixian You
    Electrical Engineering and Computer Science
    Massachusetts Institute of Technology

Funded by RCSA


4-D Molecular Tracking Using Kilohertz Framerate Multi-Modal Microscopy

  • Nick Galati
    Biology
    Western Washington University
  • Shannon Quinn
    Computer Science
    University of Georgia
  • Doug Shepherd
    Physics
    Arizona State University

Funded by RCSA


Nanophotonic Probes for Ultra-Deep Functional Multiphoton Imaging

  • Luke Mortensen
    Chemical, Materials and Biomedical Engineering
    University of Georgia
  • Aniruddha Ray
    Physics & Astronomy
    University of Toledo

Funded by RCSA


Light-Sheet Imaging of 3D Bioprinted Islet Organoids Structure and Function

  • Yevgenia Kozorovitskiy
    Neurobiology
    Northwestern University
  • Ping Wang
    Radiology
    Michigan State University

Funded by RCSA


Enabling Noninvasive Lipid Profiling with Intermodal Deep Learning

  • Benjamin Bartelle
    Biological and Health Systems Engineering
    Arizona State University Fulton School of Engineering

    Ulugbek Kamilov
    Computer Science & Engineering / Electrical & Systems Engineering
    Washington University in St. Louis

    Lu Wei
    Chemistry and Chemical Engineering
    California Institute of Technology
  • Funded by CZI

Chip-scale Light Sheet for High Spatiotemporal Resolution Imaging

  • Aseema Mohanty
    Electrical and Computer EngineeringTufts University

    Srigokul Upadhyayula
    Molecular and Cell Biology
    University of California, Berkeley

    Funded by CZI

Deep Tissue Photoacoustic Imaging with Degradable Inorganic Nanoparticles

  • Carolyn Bayer
    Biomedical Engineering
    Tulane University

    Allison Dennis
    Biomedical Engineering
    Boston University
  • Funded by CZI

Machine Learning to Identify Soft Tissue Molecular Signatures 

  • Carolyn Bayer
    Biomedical Engineering
    Tulane University

    Sapun Parekh
    Biomedical Engineering
    University of Texas at Austin

    Paris Perdikaris
    Mechanical Engineering and Applied Mechanics
    University of Pennsylvania

    Funded by CZI

Microendoscopy-Guided Diagnosis and Treatment of Early-Stage Ovarian Cancer

  • Barbara Smith
    Biological and Health Systems Engineering
    Arizona State University

    Bryan Spring
    Physics
    Northeastern University

    Funded by CZI

Wide-Field, Single-Pixel Fluorescence Imaging with On-Chip Nanophotonics

  • Lisa Poulikakos
    Mechanical and Aerospace Engineering
    University of California, San Diego

    Douglas Shepherd
    Physics
    Arizona State University

    Funded by CZI