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Brett E. Bouma

Researcher at Harvard University

Publications -  496
Citations -  52032

Brett E. Bouma is an academic researcher from Harvard University. The author has contributed to research in topics: Optical coherence tomography & Laser. The author has an hindex of 116, co-authored 474 publications receiving 49561 citations. Previous affiliations of Brett E. Bouma include Hope College & Lahey Hospital & Medical Center.

Papers
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Proceedings ArticleDOI

A Novel GRISM-Based Probe for Spectrally Encoded Confocal Microscopy

TL;DR: In this article, a 10 mm diameter Spectral Encoding Confocal Microscope (SECM) probe is presented, based on a double prism GRISM, which can be used laparoscopically.
Proceedings ArticleDOI

Reconstructing polarimetric information from existing intravascular optical frequency domain imaging data

TL;DR: Using the inherent properties of existing clinical intravascular OFDI systems, this article presented a robust signal processing software which resolved the polarization properties of coronary plaques and applied this method to existing patient datasets.
Patent

Optical systems for tissue analysis

TL;DR: In this paper, the authors proposed a method and system to optically analyze samples such as tissue based on speckle patterns of microscopic motion, such as Brownian motion, which relates to methods and systems for optically analyzing samples.
Proceedings ArticleDOI

Spectral Encoding: A Novel Platform for Endoscopy and Microscopy

TL;DR: Spectral encoding is a single optical fiber imaging approach that projects different wavelengths to distinct locations on a sample, enabling a wide variety of reflectance and fluorescence medical imaging devices for macroscopic imaging and microscopy as mentioned in this paper.
Posted ContentDOI

Holistic Structural Visualization of Coronary Arteries with Single-catheter Dual-modality Intravascular Imaging Combining IVUS and OFDI

TL;DR: A catheter-based imaging system integrating IVUS and OFDI, as well as a new rendering method that computationally fuses the intrinsically co-registered images from both modalities into a single cross-sectional map of vessel structures.