Selected Grantee Publications
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- 10 results found
- Imaging
- 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.
The Effect of Common Paralytic Agents Used for Fluorescence Imaging on Redox Tone and ATP Levels in Caenorhabditis elegans
Morton et al., PLOS One. 2024.
https://pubmed.ncbi.nlm.nih.gov/38669260
Caenorhabditis elegans is a highly valuable model organism in biological research. However, these worms must be paralyzed for most imaging applications, and the effect that common chemical anesthetics may have on the parameters measured—especially biochemical measurements such as cellular energetics and redox tone—is poorly understood. In this study, the authors used two reporters—QUEEN-2m for relative ATP levels and reduction-oxidation–sensitive green fluorescent protein for redox tone—to assess the impact of commonly used chemical paralytics. The results show that all chemical anesthetics at doses required for full paralysis alter redox tone and/or ATP levels, and anesthetic use alters the detected outcome of rotenone exposure on relative ATP levels and redox tone. Therefore, it is important to tailor the use of anesthetics to different endpoints and experimental questions and to develop less disruptive paralytic methods for optimal imaging of dynamic in vivo reporters. Supported by ORIP (P40OD010440, R44OD024963) and NIEHS.
Characterizing a Photoacoustic and Fluorescence Imaging Platform for Preclinical Murine Longitudinal Studies
Thompson et al., Journal of Biomedical Optics . 2023.
https://pubmed.ncbi.nlm.nih.gov/36895414/
Preclinical studies using animal models require medical imaging technology with sufficient resolution and sensitivity for anatomical, functional, and molecular assessments. Photoacoustic (PA) tomography provides high resolution and specificity, and fluorescence (FL) molecular tomography provides high sensitivity; the combination of these imaging modalities capitalizes on their strengths and mitigates disadvantages. In this publication, the authors describe TriTom, a preclinical imaging system that integrates PA and FL. They characterized the PA spatial resolution, PA sensitivity, PA spectral accuracy, optical spatial resolution, and FL sensitivity of the platform and demonstrated anatomical imaging in mice. This report demonstrates TriTom’s suitability for biomedical imaging applications. Supported by ORIP (R43OD023029) and NCI.
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.
Functional and Ultrastructural Analysis of Reafferent Mechanosensation in Larval Zebrafish
Odstrcil et al., Current Biology. 2022.
https://www.sciencedirect.com/science/article/pii/S096098222101530X
All animals need to differentiate between exafferent stimuli (caused by the environment) and reafferent stimuli (caused by their own movement). Researchers characterized how hair cells in zebrafish larvae discriminate between reafferent and exafferent signals. Dye labeling of the lateral line nerve and functional imaging was combined with ultra-structural electron microscopy circuit reconstruction to show that cholinergic signals originating from the hindbrain transmit efference copies, and dopaminergic signals from the hypothalamus may affect threshold modulation. Findings suggest that this circuit is the core implementation of mechanosensory reafferent suppression in these young animals. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.
Deep Learning-Based Framework for Cardiac Function Assessment in Embryonic Zebrafish from Heart Beating Videos
Naderi et al., Computers in Biology and Medicine. 2021.
https://www.sciencedirect.com/science/article/pii/S0010482521003590
Zebrafish is a powerful model system for a host of biological investigations, cardiovascular studies, and genetic screening. However, the current methods for quantifying and monitoring zebrafish cardiac functions involve tedious manual work and inconsistent estimations. Naderi et al. developed a Zebrafish Automatic Cardiovascular Assessment Framework (ZACAF) based on a U-net deep learning model for automated assessment of cardiovascular indices, such as ejection fraction (EF) and fractional shortening (FS) from microscopic videos of wildtype and cardiomyopathy mutant zebrafish embryos. The framework could be widely applicable with any laboratory resources, and the automatic feature holds promise to enable efficient, consistent, and reliable processing and analysis capacity. Supported by ORIP (R44OD024874)
Algorithms Underlying Flexible Phototaxis in Larval Zebrafish
Chen et al., Journal of Experimental Biology. 2021.
https://pubmed.ncbi.nlm.nih.gov/34027982/
Given that physiological and environmental variables undergo constant fluctuations over time, how do biological control systems maintain control over these values? The authors demonstrate that larval zebrafish use phototaxis to maintain environmental luminance at a set point, that the value of this set point fluctuates on a time scale of seconds when environmental luminance changes, and it is determined by calculating the mean input across both sides of the visual field. Feedback from the surroundings drives allostatic changes to the luminance set point. The authors describe a novel behavioral algorithm with which larval zebrafish exert control over a sensory variable. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.
The High Affinity Dopamine D2 Receptor Agonist MCL-536: A New Tool for Studying Dopaminergic Contribution to Neurological Disorders
Subburaju et al., ACS Chemical Neuroscience. 2021.
https://pubs.acs.org/doi/full/10.1021/acschemneuro.1c00094
The dopamine D2 receptor exists in two different states, D2high and D2low; the former is the functional form of the D2 receptor and associates with intracellular G-proteins. The D2 agonist [3H]MCL-536 has high affinity for the D2 receptor (Kd 0.8 nM) and potently displaces the binding of (R-(-)-N-n-propylnorapomorphine (NPA; Ki 0.16 nM) and raclopride (Ki 0.9 nM) in competition binding assays. The authors characterized [3H]MCL-536. [3H]MCL-536 as metabolically stable. In vitro autoradiography on transaxial and coronal brain sections showed specific binding of [3H]MCL-536. [3H]MCL-536's unique properties make it a valuable tool for research on neurological disorders like Parkinson's disease or schizophrenia. Supported by ORIP (R43OD020186, R44OD024615) and NIMH.
Acoustofluidic Rotational Tweezing Enables High-Speed Contactless Morphological Phenotyping of Zebrafish Larvae
Chen et al., Nature Communications. 2021.
https://pubmed.ncbi.nlm.nih.gov/33602914/
These authors demonstrate an acoustofluidic rotational tweezing platform that enables contactless, high-speed, 3D multispectral imaging and digital reconstruction of zebrafish larvae for quantitative phenotypic analysis. The acoustic-induced polarized vortex streaming achieves contactless and rapid (~1 s/rotation) rotation of zebrafish larvae enabling multispectral imaging of the zebrafish body and internal organs. They developed a 3D reconstruction pipeline that yields accurate 3D models based on the multi-view images for quantitative evaluation. With its contactless nature and advantages in speed and automation, the acoustofluidic rotational tweezing system has the potential to be a valuable asset for developmental biology and pre-clinical drug development in pharmacology. Supported by ORIP (R43OD024963), NCI, and NIGMS.
Fluorescence-Based Sorting of Caenorhabditis elegans via Acoustofluidics
Zhang et al., Lab on a Chip. 2020.
The authors present an integrated acoustofluidic chip capable of identifying worms of interest based on expression of a fluorescent protein in a continuous flow and then separate them in a high-throughput manner. Utilizing planar fiber optics, their acoustofluidic device requires no temporary immobilization of worms for interrogation/detection, thereby improving the throughput. The device can sort worms of different developmental stages (L3 and L4 stage worms) at high throughput and accuracy. In their acoustofluidic chip, the time to complete the detection and sorting of one worm is only 50 ms, which outperforms nearly all existing microfluidics-based worm sorting devices. Supported by ORIP (R43OD024963), NIEHS, and NIDDK.