Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries.
Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries.
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DOI：
10.34133/bmef.0005
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Ramanujam N
中科院分区：
文献类型：
--
作者：
Wang R;Deutsch RJ;Sunassee ED;Crouch BT;Ramanujam N
目标和影响声明：我们开发了一种通用的计算方法来设计均匀，高强度的激发光，用于低成本，定量荧光成像的体外，离体和体内样品与一个单一的设备。简介：荧光成像是生物医学应用中无处不在的工具。研究人员广泛修改现有的组织成像系统，增加了转化研究和厚组织成像所需的时间和精力。这些修改是特定于应用的，需要新的设计来跨样品类型扩展。方法：我们实现了一个计算模型来模拟来自多个光源的光传播。使用全局优化算法和自定义成本函数，我们确定了光纤的空间定位以生成2个照明轮廓。这些结果用于对芯针活检、临床前乳腺肿瘤或肿瘤衍生类器官进行成像。样品用分子探针染色，并用均匀和不均匀照明成像。结果：模拟结果被忠实地翻译到台式系统。我们证明，均匀照明增加了图像内分析的可靠性相比，非均匀照明，是与传统的组织学结果一致。计算方法用于优化照明几何结构，以便通过乳腺窗室模型对3种不同的荧光团进行成像。与最初针对活检图像优化的照明相比，专为活体肿瘤成像设计的照明产生更高的图像对比度。结论：我们证明了使用计算设计的照明在体外，离体和体内荧光成像的意义。应用特定的照明增加了图像内分析的可靠性，并增强了生物特征的局部对比度。这种方法在光源、生物应用和检测器上是通用的。
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.
影响因子：
5.9
作者：
Joh DY;Heggestad JT;Zhang S;Anderson GR;Bhattacharyya J;Wardell SE;Wall SA;Cheng AB;Albarghouthi F;Liu J;Oshima S;Hucknall AM;Hyslop T;Hall AHS;Wood KC;Shelley Hwang E;Strickland KC;Wei Q;Chilkoti A
通讯作者：
Chilkoti A