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Seeing through dense, dynamic, and heterogeneous fog conditions. The technique, based on visible light, uses hardware that is similar to ...
Most of the underwater world remains far off the map. For many of the most exciting exploration challenges–from Maya cenotes to urb...
Time of Flight 3D cameras like the Microsoft Kinect are prevalent in computer vision and computer graphics. In such devices, the power of...
Space Exploration Initiative
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Reimagining human cooperation in the age of social media and artificial intelligence
Health 0.0
We have developed a new process to screen patients at the point-of-care with FDA-approved technology-enabled mobile health screenings (TE...
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
Developed by MIT researchers, the technology could be a boon for drivers and driverless cars
We built a low-cost and open source 405 nm imaging device to capture red fluorescence signatures associated with the oral biomarker porph...
Two-dimensional radiographs are commonly used for evaluating sub-surface hard structures of teeth, but they have low sensitivity for earl...
Biomarker imaging provides non-invasive indicators of disease and is used by human experts to augment disease diagnosis. It is, however, ...
Phase 3 clinical trial outcomes used to evaluate new drugs, therapies and vaccines are among the most complex experiments performed in me...
K. Angelino, D. A. Edlund, P. Shah. Near-Infrared Imaging for Detecting Caries and Structural Deformities in Teeth. Journal of Translational Engineering in Health and Medicine. 10.1109/JTEHM.2017.2695194
K. Angelino, D. A. Edlund, G. Bhatia, S. Wu, P. Shah. "Near-Infrared Transillumination Guides Administration of Dental 2D Radiography and CBCT Imaging." 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering. 2017. DOI: 10.1109/BIBE.2017.00-33
G. Yauney, K. Angelino, D. A. Edlund, P. Shah. "Convolutional Neural Network for Combined Classification of Fluorescent Biomarkers and Expert Annotations using White Light Images." 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering. 2017. DOI: 10.1109/BIBE.2017.00-37
A. Rana, G. Yauney, L. C. Wong, O. Gupta, A. Muftu, P. Shah. "Automated segmentation of gingival diseases from oral images." 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT). IEEE. 2017. DOI: 10.1109/HIC.2017.8227605
K. Angelino*, P. Shah*, D. Edlund, M. Mohit, G. Yauney. "Clinical validation and assessment of a modular fluorescent imaging system and algorithm for rapid detection and quantification of dental plaque." BMC Oral Health 17.1: 162. 2017. DOI: 10.1186/s12903-017-0472-4
Lensless Imaging with Compressive Ultrafast SensingTraditional cameras require a lens and a mega-pixel sensor to capture images. The lens...
He is passionate about developing imaging technologies that solve great challenges in society, science, and health
New technologies for recording neural activity, controlling neural activity, or building brain circuits, may be capable someday of servin...
Complex biological systems such as brain circuits are extended 3-D structures made out of nanoscale building blocks such as proteins, RNA...
Computational photography could solve a problem that bedevils self-driving cars.
MIT researchers have developed a system that can produce images of objects shrouded by fog so thick that human vision can’t penetrate it.
Computational method improves the resolution of time-of-flight depth sensors 1,000-fold.
Kadambi, Achuta and Raskar, Ramesh, Rethinking Machine Vision Time of Flight with GHz Heterodyning, IEEE Access 2017
Researchers want to know what images make us feel more attached to other people. They call their project “Deep Empathy.”
Kadambi, Achuta, et al. "Depth Sensing Using Geometrically Constrained Polarization Normals." International Journal of Computer Vision 125.1-3 (2017): 34-51.
We present an 8K (7680 x 4320 pixels) visualization system for terabyte-scale, three-dimensional microscopy images of a brain slice that ...
What would your city look like after a disaster? Deep Empathy is a collaboration between the Scalable Coope...
Expansion microscopy (ExM) is a new imaging modality developed by MIT Media Lab's Synthetic Neurobiology group. ExM allows biomolecules t...
Revealing insights into the human condition and repairing brain disorders via novel tools for mapping and fixing brain computations
Terahertz time-gated spectral imaging for content extraction through layered structures.
One day, you're a terrible killing and eating machine. Flash forward 65 million years, and you're being conquered by a $150 gaming access...
Enlarging clinical samples for imaging to understand the building blocks of pathologies with nanoscale precision
When a group of forensic dentistry experts set out in 2016 to investigate what may have caused some peculiar holes in a T. rex jaw, they ...
System with $150 worth of hardware offers alternative to 3-D scanners that cost 200 times as much
High-resolution imaging with conventional microscopes:Tissue-expansion technique could allow scientists to map brain circuits.
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
How to see through tissueWe demonstrate a new method to image through scattering materials like tissue and fog. The demonstration include...
We are exploring mathematical modeling of time-of-flight imaging problems and solutions.
We use time-resolved information in an iterative optimization algorithm to recover reflectance of a three-dimensional scene hidden behind...