Selected Grantee Publications
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- nibib
- R43/R44 [SBIR]
Spatiotemporal Image Reconstruction to Enable High-Frame-Rate Dynamic Photoacoustic Tomography With Rotating-Gantry Volumetric Imagers
Cam et al., Journal of Biomedical Optics . 2024.
https://pubmed.ncbi.nlm.nih.gov/38249994
Dynamic photoacoustic computed tomography (PACT) is a valuable imaging technique for monitoring physiological processes. However, the current imaging techniques are often limited to two-dimensional spatial imaging. While PACT imagers capable of taking three-dimensional spatial images are commercially available, these systems have substantial limitations. Typically, the data are acquired sequentially rather than simultaneously at all views. The objects being imaged are dynamic and can vary during this process; as such, image reconstruction is inherently difficult, and the result is often incomplete. Cam et al. propose an image reconstruction method that can address these challenges and enable volumetric dynamic PACT imaging using existing preclinical imagers, which has the potential to significantly advance preclinical research and facilitate the monitoring of critical physiological biomarkers. Supported by ORIP (R44OD023029) and NIBIB.
Gigapixel Imaging With a Novel Multi-Camera Array Microscope
Thomson et al., eLife. 2022.
https://www.doi.org/10.7554/eLife.74988
The dynamics of living organisms are organized across many spatial scales. The investigators created assembled a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution, large field-of-view recording from multiple spatial scales simultaneously, ranging from structures that approach the cellular scale to large-group behavioral dynamics. By collecting data from up to 96 cameras, they computationally generated gigapixel-scale images and movies with a field of view over hundreds of square centimeters at an optical resolution of 18 µm. This system allows the team to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales (e.g., larval zebrafish, fruit flies, slime mold). Overall, by removing the bottlenecks imposed by single-camera image acquisition systems, the MCAM provides a powerful platform for investigating detailed biological features and behavioral processes of small model organisms. Supported by ORIP (R44OD024879), NIEHS, NCI, and NIBIB.