Frontiers of Imaging

Scialog: Advancing BioImaging Cycle 3

to develop differential dynamic light-field microscopy, a novel computational microscopy technique to quantify 3D dynamics applicable to scales spanning organism-wide to intracellular

Cryo-CLEM Labels

to deliver all-in-one SNAP-tag labels containing a fluorophore and a gold nanoparticle to live cells to elucidate protein structures by cryo-CLEM and cryo-ET

Dynamic Imaging

to develop a highly multiplexed, quantitative, orthogonal, and automated fluorescence imaging technique for spatiotemporal RNA/protein profiling in single living cells

Dynamic Imaging

to develop a computational mid-infrared photothermal microscope, a deep-learning algorithm, and nitrile probes for 3D bond-selective imaging of live cells and multicellular organisms

Deep Tissue Imaging Phase 2

to exploit properties of coherent nonlinear light scattering to break the ballistic barrier for imaging in tissue at unprecedented depths

Cryo-CLEM Labels

to evaluate a cloneable fluorescent zinc-selenide quantum dot in cellular light and electron microscopy, and to develop a cloneable bismuth quantum dot as a significantly smaller cloneable quantum dot

Dynamic Imaging

to develop a computational mesoscope combining miniature freeform optics, a metasurface diffuser, an event-based camera, and deep-learning algorithms to enable ultrafast multiscale 3D fluorescence imaging

Deep Tissue Imaging Phase 2

to enhance multiphoton excitation efficiency by orders of magnitude by engineering both quantum and classical ultrafast photon correlations, thereby surpassing fundamental depth limits

Deep Tissue Imaging Phase 2

to create far-red/near-infrared luminescent probes by using AI-driven protein design to revolutionize molecular imaging in deep tissue and enable functional monitoring of cell-based therapeutics

Cryo-CLEM Labels

to provide a tagging system for unambiguously localizing proteins at endogenous levels by cryo-light microscopy and cryo-electron tomography with minimal impact on protein function and low background

Cryo-CLEM Labels

to optimize EMcapsulins, a set of multiplexable EM labels based on capsids engineered to enzymatically sequester electron-dense matter for high contrast-to-background, low invasiveness cryo-CLEM

Cryo-CLEM Labels

to design and develop chemo-genetically controlled, self-assembling, asymmetric, readily recognizable, and alignable fiducial tags for cryo-ET and cryo-CLEM

Scialog: Advancing BioImaging Cycle 3

to develop multi-angle synthesized ultrasound tomography (MASUT) to synthesize speckle-free and large field-of-view volumetric ultrasound images from natural hand motion

Dynamic Imaging

to develop 4D space-time imaging methods to invert dynamic tissue scattering and reconstruct time-lapse volumetric videos of living tissue samples at kilohertz-scale frame-rates

Cryo-CLEM Labels

to develop the next generation of genetically encoded cryo-CLEM labels with AI-driven de novo protein design to achieve target-specific and conditionally self-assembling, asymmetric, fluorescent tags

Dynamic Imaging

to enable label-free spatiotemporal mapping of neural activity with sub-millisecond and subcellular resolution through developing a new method called dual-comb scattering-matrix tomography

Dynamic Imaging

to develop a comprehensive set of probes allowing cell biologists to observe and monitor the morphological and functional dynamics of contact sites between organellar membranes in real time

Dynamic Imaging

to develop a novel, high-definition and high-speed mid-infrared 3D and hyperspectral imaging technology for the real-time visualization of dynamical processes with chemical contrast

Deep Tissue Imaging Phase 2

to reach the optimal spectral range for deep tissue imaging by employing Raman contrast, boosted with electronic pre-resonance of SWIR chromophores, as a universal contrast mechanism

Scialog: Advancing BioImaging Cycle 3

to capitalize on the mechanical motion of motile cilia, label-free metabolic imaging, and structural-mechanical imaging to generate a mechano-metabolic map of a ciliary array

Cryo-CLEM Labels

to develop genetically encoded RNA-protein assemblies that serve as high-contrast, low-background labels for cryo-CLEM and that can be directly visualized in unaveraged tomograms

Dynamic Imaging

to develop molecular, optical, and algorithmic tools to map high-speed bioelectrical dynamics in three dimensions in intact tissue and in live specimens

Deep Tissue Imaging Phase 2

to deliver in-vivo, cellular-level, non-invasive, dynamic microstructural diffusion cardiac magnetic resonance imaging of the beating human heart (100x100x100um3, ~16 cardiomyocytes/voxel)

Dynamic Imaging

to generate a technique able to analyze living biological samples, over hours and days, at super-resolution, followed by an analysis of important cellular events at sub-molecular scale resolution

Dynamic Imaging

to integrate single-cell multi-omics data with live cell imaging-based lineage tracing, using spatial transcriptomics as a bridge

Deep Tissue Imaging Phase 2

to translate a multi-modal imaging approach towards in-vivo applicability, exploiting the combination of wavefront shaping, photoacoustic microscopy and switchable photoacoustic probes

Deep Tissue Imaging Phase 2

to develop molecular-scale emitters for deep-tissue imaging of biomolecular targets in the NIR-II tissue transparency window, with direct applications in cancer research and therapeutics development

Dynamic Imaging

to develop a multi-color, wide-field, single molecule tracking with fluorescence lifetime imaging platform that will provide direct access to the dynamics and interactions of biomolecules in living cells

Dynamic Imaging

to design a new Raman imaging platform for multiplexed and dynamic profiling of activities from live neuronal co-cultures and brain slices to probe their precise subcellular coordination and regulation

Dynamic Imaging

to enable direct imaging of viruses in their native environments at very high resolution, and revolutionize the study of viruses, human health, and vaccines

Dynamic Imaging

to create an optical microscope that can image and infer biological details at subcellular spatial, sub-millisecond temporal and sub-10 nm spectral resolutions, and make this technology widely available to scientists

Dynamic Imaging

to develop a new microscope that can observe single molecule dynamics while simultaneously providing ultrastructural context about the local microenvironment in live cells and tissues

Dynamic Imaging

to develop hardware and software to implement inpainting algorithms and produce high-resolution movies of dynamic biological specimens under their near-native liquid environment

Cryo-CLEM Labels

to develop a multiplexed, protein origami-based labeling system to identify and localize proteins directly in cryo-electron tomograms

Dynamic Imaging

to develop a new quantum enhanced, structured illumination, localization microscopy to increase speed, volume, and resolution and to break labeling density barriers in super-resolution microscopy

Deep Tissue Imaging Phase 2

to develop and validate quantum-enhanced, near-infrared capabilities for accessible imaging in bone and bone marrow, advancing medicine and improving lives

Scialog: Advancing BioImaging Cycle 3

to integrate an entangled photon approach to time-resolved fluorescence imaging microscopy enabling multiplexed and background-free fluorescence imaging

Scialog: Advancing BioImaging Cycle 3

to develop sketch-based retrieval algorithms for classifying biologically relevant features in large 3D image datasets

Dynamic Imaging

to develop widely accessible, fast 3D sound sheet imaging of acoustic reporters to study cellular activity, at the whole organ scale, in intact living opaque organisms to better understand health and disease

Dynamic Imaging

to develop a novel optical microscopy technology that offers a combination of high sensitivity, massive multiplexing, probe generality, and compatibility with dynamic imaging

Cryo-CLEM Labels

to develop a robust cryo-CLEM label using nucleic acids, visible as one event by advanced cryo super-resolution fluorescence microscopy, detectable in unaveraged cryo-electron tomograms

Dynamic Imaging

to advance single-molecule tracking of proteins in live cells by developing accessible tools for automation, detection of protein-protein interactions, and molecular characterization of cell fate transitions

Deep Tissue Imaging Phase 2

to develop the first whole-body human ultrasound and thermoacoustic tomography along with needle-based photoacoustic microscopy to image organs and cells deep in the body