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Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries.

Publication ,  Journal Article
Wang, R; Deutsch, RJ; Sunassee, ED; Crouch, BT; Ramanujam, N
Published in: BME frontiers
January 2023

Objective and Impact Statement: We developed a generalized computational approach to design uniform, high-intensity excitation light for low-cost, quantitative fluorescence imaging of in vitro, ex vivo, and in vivo samples with a single device. Introduction: Fluorescence imaging is a ubiquitous tool for biomedical applications. Researchers extensively modify existing systems for tissue imaging, increasing the time and effort needed for translational research and thick tissue imaging. These modifications are application-specific, requiring new designs to scale across sample types. Methods: We implemented a computational model to simulate light propagation from multiple sources. Using a global optimization algorithm and a custom cost function, we determined the spatial positioning of optical fibers to generate 2 illumination profiles. These results were implemented to image core needle biopsies, preclinical mammary tumors, or tumor-derived organoids. Samples were stained with molecular probes and imaged with uniform and nonuniform illumination. Results: Simulation results were faithfully translated to benchtop systems. We demonstrated that uniform illumination increased the reliability of intraimage analysis compared to nonuniform illumination and was concordant with traditional histological findings. The computational approach was used to optimize the illumination geometry for the purposes of imaging 3 different fluorophores through a mammary window chamber model. Illumination specifically designed for intravital tumor imaging generated higher image contrast compared to the case in which illumination originally optimized for biopsy images was used. Conclusion: We demonstrate the significance of using a computationally designed illumination for in vitro, ex vivo, and in vivo fluorescence imaging. Application-specific illumination increased the reliability of intraimage analysis and enhanced the local contrast of biological features. This approach is generalizable across light sources, biological applications, and detectors.

Duke Scholars

Published In

BME frontiers

DOI

EISSN

2765-8031

ISSN

2765-8031

Publication Date

January 2023

Volume

4

Start / End Page

0005
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wang, R., Deutsch, R. J., Sunassee, E. D., Crouch, B. T., & Ramanujam, N. (2023). Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries. BME Frontiers, 4, 0005. https://doi.org/10.34133/bmef.0005
Wang, Roujia, Riley J. Deutsch, Enakshi D. Sunassee, Brian T. Crouch, and Nirmala Ramanujam. “Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries.BME Frontiers 4 (January 2023): 0005. https://doi.org/10.34133/bmef.0005.
Wang R, Deutsch RJ, Sunassee ED, Crouch BT, Ramanujam N. Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries. BME frontiers. 2023 Jan;4:0005.
Wang, Roujia, et al. “Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries.BME Frontiers, vol. 4, Jan. 2023, p. 0005. Epmc, doi:10.34133/bmef.0005.
Wang R, Deutsch RJ, Sunassee ED, Crouch BT, Ramanujam N. Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries. BME frontiers. 2023 Jan;4:0005.

Published In

BME frontiers

DOI

EISSN

2765-8031

ISSN

2765-8031

Publication Date

January 2023

Volume

4

Start / End Page

0005