We develop algorithms and algorithm-enabled imaging systems at scales from nanometers (x-ray microscopy) to meters (human computed tomography). Themes that span all scales and modalities include dose reduction, material identification, and orientation imaging.
August 25, 2018: Zebrafish x-ray histology paper posted on BiorXiv
Our paper introducing x-ray histology producing cellular resolution across an entire organism has been posted on BiorXiv.
May 23, 2018: Dr. Patrick La Riviere selected as 2018
Distinguished Investigator awardee
Dr. Patrick La Riviere who has been selected as a 2018 Distinguished Investigator awardee by the Academy for Radiology & Biomedical Imaging Research. This honor recognizes individuals for their accomplishments in the field of medical imaging. Recipients of the Distinguished Investigator Award have attained a level of accomplishment that ranks within the top 10% of all academic radiology faculty.
Jan 11, 2018: Shark, Shark!
The La Riviere lab contributed to this study of an ancient shark:
November, 2017: They did it all with mirrors.
Mirror paper published in Nature Communications.
In collaboration with Hari Shroff at NIH, Dr. La Riviere and Corey Smith helped double the speed and collection efficiency of the diSPIM dual-view light microscope. This is accomplished by placing the sample on a mirror, which reflects both the light sheet and the emitted fluorescence. The imaging model becomes much more complicated than a simple convolution, but working with Yicong Wu in Hari’s lab, we developed a model and algorithm to handle it.
September, 2017: High-speed polarized fluorescence microscope paper published in PNAS
Our collaborator Shalin Mehta published a lovely paper using high-speed fluorescence anisotropy studies to create rapid movies of oriented molecules in a live cell. We contributed mainly some analytical tools here but this study has drawn us into this fascinating problem of molecular orientation imaging. There will be more nice papers along these lines in coming years.
August, 2016: Triple-view light sheet paper is published in Optica
In collaboration with Hari Shroff at NIH, Dr. La Riviere and Corey Smith developed the algorithmic framework for modeling a triple-view extension of the dual-view light-sheet microscope. The main computational challenge was to model the effective PSF of the high-NA bottom view, which involves a moving acquisition synchronized with the camera rolling shutter, which is what allows it to image a titled light sheet in focus. The work was published in Optica.
June, 2016: Patrick La Riviere named a fellow of the MBL.
Dr. La Riviere was named an inaugural fellow of the MBL, in recognition of his ongoing collaborations there in computational microscopy.