Frontiers of Imaging
Innovations in scientific imaging technologies such as ultrasound, MRI, photoacoustic, optical, X-ray, and quantum imaging could be transformative for biomedical applications and for understanding life at the cellular level. So, too, could advancing technology in visual proteomics that allows researchers to obtain near-atomic resolution readouts inside cells. The Frontiers of Imaging effort supports technology development to allow researchers to peer deep into tissues in order to better understand and cure disease. Read more.
Showing 38 results
This project will develop an imaging technology that can simultaneously probe 4D organelle dynamics in combination with a functional metabolic readout at high spatial and temporal resolutions.
This project will develop a pulsed ponderomotive phase plate that allows in-focus phase contrast of cryo-EM specimens, resulting in a highly tunable contrast transfer function intent on revolutionizing our understanding of biology.
This project will achieve transformations in X-ray tomography technology by enabling cellular-level imaging anywhere in whole organisms, including human bodies, providing insight at multiple anatomical levels.
This project will develop genetically encodable biomolecular tools that will enable ultrasound to image specific cellular functions deep inside the body.
This team will develop a general strategy for high-resolution, multiplexed imaging of dynamic protein interactions in live cells, using biocompatible (bioorthogonal) probes.
This project will develop a chip that generates a light source suitable for light sheet microscopy in order to decrease the cost of this technology.
This project will develop a widely-adaptable, cloneable label to enable visualization of macromolecular complexes inside cells at near-atomic resolution.
This project will use a novel, multidisciplinary approach aimed at overcoming the current limitations of wavefront shaping microscopy to enable truly deep biological imaging.
This team will apply new computational microscopy techniques to reconstruct a sample’s 3D light scattering potential and digitally correct scattering effects.
This team will develop protocols and software to build a universal pipeline for solving protein and organelle structures.
This team will build a cost-effective pipeline for visual proteomics to increase access to advanced imaging technologies.
This team will develop a novel cryo-superresolution microscope to improve the accuracy of contextualized protein locations with an emphasis on developing open-source tools to guide structure determination.
This team will develop semiconductor metal nanoparticles as infrared probes for photoacoustic imaging and apply the technology to observing vascular development of the placenta.
This project will pioneer short-wave infrared multiphoton microscopy, transforming intravital microscopy into a non-invasive technology.
This team seeks to develop a modular, inexpensive, open-source, multi-modal in vivo imaging system to democratize access to bioimaging.
This project will explore the feasibility of delivering electron dose in short bursts as a proof-of-concept for rapid high-resolution 3D imaging of frozen-hydrated cells.
This project will revolutionize the imaging depth with light at optical wavelength resolution by developing a new type of microscopy that uses nonlinear holography for ultradeep tissue imaging.
This team will use Raman imaging to detect lipids and to train MRI imaging on the same field of view, seeking to find if MRI has unrecognized signatures of cellular lipids.
This team will develop three experimental model systems for visual proteomics with a focus on high statistical confidence to disseminate high-quality proteomic and image data.
This team will develop technology to advance in-cell structural biology with machine learning and super-resolution light microscopy.
This team will develop the roadmap to engineer a high-resolution, high-throughput cryo-electron tomography camera that will improve sensitivity, speed, and detector size.
This project seeks to increase the detection limit of MRI by orders of magnitude, enabling researchers to monitor genetic activity in double-digit numbers of cells per voxel, potentially even approaching single-cell sensitivity.
This project will integrate laser phase plates into the most modern Krios electron microscope to enable the ultimate phase contrast microscope in cryo-tomography.
This team will develop computational methods and data collection protocols to achieve target detection with the best possible precision and sensitivity, enabling the creation of pseudo-atomic maps of localized targets within cells.
This team will develop multimodal imaging and machine learning algorithms to identify soft tissue molecular characteristics indicative of pelvic organ prolapse.
This project will use high-speed camera and laser technology to create contactless ultrasound arrays, able to image centimeters into tissue and at cellular resolution.
This project will use endoscopy and combine photoacoustic and multi-photon microscopies to investigate early-stage ovarian cancer as it develops in the fallopian tube.
This project will design computational tools to accurately detect molecules in cellular tomograms and determine their high-resolution structures.
This project will develop new ultrasound techniques for deep tissue imaging of cell types, cellular interactions, and cancers.
This team will develop magnetic resonance microscopy that combines novel data acquisition approaches, image reconstructions, gradient and cryogenic radiofrequency coil technologies, and ultra-high field strength to obtain unique cellular information in disease models.
This project will develop a comprehensive toolbox of genetic near-infrared photochromic photoacoustic probes, acoustic-tunnel enhanced light delivery, and stochastic localization of photoacoustic probes in order to push the resolution limit of photoacoustic imaging.
This project will develop quantum multi-photon excitation microscopy for centimeter-scale deep tissue imaging in complex organisms.
The team seeks to develop an efficient computational platform on an array and convert the digitized data to an image where the system learns the spatio-temporal pattern of the image and enables the classification of data from the signal in real-time as anomalous or expected.
This team will incorporate an advanced fluorescent microscope within a commercial Cryo-FIB to improve localization and identification accuracy of subcellular features.
This project will develop new near-infrared emitters and dual infrared 2-photon imaging technologies for deep tissue subcellular-scale imaging in brain and plant tissues.
This project will develop and validate a super-resolution photoacoustic imaging technology using a revolutionary ultrasensitive nanophotonic sensor that enables single-cell resolution molecular imaging at centimeter depth in vivo.
This project seeks to develop a new approach to multiphoton imaging that will transform image collection in the brain by creating a flexible sensor.
This team aims to develop an aberration and scatter-resistant microscopy method to collect both scattered and unscattered fluorescence.
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