News

Prof. Horstmeyer receives 3M Young Faculty Award!

This generous award from 3M will be used to continue our development of new computational and intelligent microscopes that can allow us to "see more" at high resolution!

Parallelized high-speed cortical blood flow detection - first paper published!

We have developed a new technique to detect blood flow and measure other small variations deep within tissue: W. Liu et al., "Fast and sensitive diffuse correlation spectroscopy with highly parallelized single photon detection," APL Photonics (2021)....

Articles about AI and pathology

Please read more about Duke's efforts to improve pathology, including our work on a smart microscope for automated pathology, in the following articles: https://bme.duke.edu/about/news/duke-future-pathology-lies-ai https://www.wraltechwire.com/2021/01/18...

Deep learning for pupil and illumination paper published!

Congratulations to Kanghyun, Pavi and Colin and our collaborator Ron Appel on completing a nice new paper in Optics Letters! The team used a deep neural network to jointly optimize the pupil transmission and illumination of a microscope to improve its...

COL awarded 2021 Duke Coulter Award

This new grant will fund our research efforts surrounding a portable "intelligent" microscope for rapid blood smear analysis. We'll be working closely with the Duke hospital over the next year to hopefully get some nice data in what should be an exciting...

Congrats to Shiqi for Theo Pilkington Fellowship!

Shiqi was recently awarded a Theo Pilkington Fellowship for the upcoming year for his outstanding work as a PhD student - great job!!

Two new pre-print papers out!

Hot off the press - the Computational Optics Lab recently published two new papers that we're excited about: 1. We have created a highly parallelized detection strategy for diffuse correlation spectroscopy using a single-photon avalanche diode array....

Neurophotonics chapter is out

Our recent book chapter about wavefront engineering for imaging deep within the brain is now available here.

Colin receives an NSERC Fellowship!

I'd like to congratulate Colin on receiving a fellowship from the Natural Sciences and Engineering Research Council of Canada, which will offer him some generous support for his research in our lab. Great job!

Kevin's new deep prior paper

Kevin's really interesting work, on improving the quality of 3D image reconstruction using a completely untrained deep learning network, is now published. Great job Kevin! Please check out the project page, which also includes a link to the source code ...

Congratulations Kanghyun!

Kanghyun Kim, a new PhD student in the lab, recently was awarded the prestigious John T. Chambers Fellowship from the Fitzpatrick Institute for Photonics (FIP) at Duke University - great job with all of your hard work!

Fourier ptychography review paper out!

We've just finished a comrehensive review paper on Fourier ptychography

Rotating X-ray beams!

During a very fun and interesting collaboration with Dr. Lars Loetgoring from the Advanced Research Center for Nanolithography and Vrije Universiteit in Amsterdam, we helped suggest some new ways to create and characterize X-ray beams that rotate as they...

Deep Image Prior for 3D imaging

Kevin's new paper is on using a "deep image prior" to improve the quality of 3D diffraction tomography reconstructions: https://arxiv.org/pdf/1912.05330.pdf This new use of an *untrained* deep convolutional neural network leads to surpringly high-quality...

Machine Learning Microscope Paper!

Congrats to everyone involved in our latest publication: A. Muthumbi et al., "Learned Sensing: jointly optimized microscope hardware for accurate image classification," Biomed. Opt. Express (2019) Associated press attention has appeared in articles from ...