The Opportunity

Light, in fact, travels deep inside the body. You can try this experiment with your smartphone flash – a huge amount of light can traverse deep into the body. And it is both non-ionizing (400-1100 nm), and inexpensive to produce, control and sense.

r

Scattering poses a huge barrier

Most pass-through photons are scattered, with an average of 10 scattering events per mm. By 50mm, a photon could face an average of 500 scattering events! If we wanted to use light for imaging, we have a large-scale inverse problem with low SNR.

See below the skin

Expeditions is developing a whole new class of imaging techniques to invert the scattering phenomena. Labeled Computational Photo-scatterography, the new methods combine sensing, analog and algorithmic innovations for a new generation of computational bio-imaging. 

NEWS

Best-Paper Runner-Up @ ICCP 2021

“High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography” wins the best-paper runner-up at ICCP 2021. This is a collaborative work between Rice ECE and the Department of Biomedical Engineering at New York University.  link: https://iccp-conference.org/  

Ramesh Raskar awarded Scientist of the Year by the Society for Imaging Science and Technology

MIT’s Ramesh Raskar has been named the 2021EI scientist of the year, due to his significant contributions to the field of electronic imaging!

Join the SLDML’21 workshop on March 4-5!

The 'Split Learning for Distributed Machine Learning' (SLDML’21) workshop will be held virtually this year on March 4-5th.  The workshop aims at discussing and identifying open problems and challenges in split learning and its variants.  For full workshop program and...

Baidu Best Paper Award at NeurIPS-SpicyFL 2020

The Baidu Best Paper Award at NeurIPS-SpicyFL 2020  has been awarded to a multi-institutional team, which includes MIT Camera Culture group head Ramesh Raskar, PhD student Praneeth Vepakomma, and research assistant Abhishek Singh! Check out their paper here: FedML: A Research Library and Benchmark...

PathCheck’s COVIDaware will help Minnesota track COVID-19

COVIDaware has launched in Minnesota to help track COVID-19 exposures and contain its spread. The launch is covered by Star Tribune here: https://www.startribune.com/minnesota-launches-covid-19-tracking-app-for-your-phone/573167411/  Learn more about COVIDaware MN here: https://covidawaremn.com/

MyDataCan has launched and is moving beyond Harvard!

The MyDataCan™ has launched! This is a platform that gives you control of your personal data, such as the data you need to *combat COVID today*. Check out more information here: https://mydatacan.org/

Join our December 4th webinar!

Prof. Rebecca Richards-Kortum, from the department of Bioengineering at Rice University, will present “Biophotonics Solutions to Global Health Challenges”

High-res DOT wins Best Paper Honorable Mention at ICCP 2020

In this work, we present a fast imaging and algorithm for high resolution diffuse optical tomography with a line imaging and illumination system. Key to our approach is a convolution approximation of the forward heterogeneous scattering model that can be inverted to produce deeper than ever before structured beneath the surface.

HealthSense wins Best Community Paper Award at ACM MobiCom

We take a software- inspired viewpoint of clinical trial designs to design, develop and validate HealthSense to enable expressibility of complex ideas, composability with diverse devices and services while maximally maintaining simplicity for a clinical research user.

PhaseCam3D wins ICCP 2019 Best Poster Award

In this paper, we present an approach for single frame, single viewpoint, passive 3D imaging using a phase mask at the aperture plane of a camera. Our approach relies on an end-to-end optimization framework to jointly learn the optimal phase mask and the reconstruction algorithm that allows an accurate estimation of range image from captured data.

Join the Expeditions Team

We are looking for undergraduate, graduate and post-doctoral associates to join the team. We are a diverse team and welcome all students. Please contact the team members to learn more.