Presentation
5 March 2021 Computational Hybrid Imaging: Measure Fluorescence and Refractive Index Together
Author Affiliations +
Abstract
Optical fluorescence microscopy has been widely used to image neurons in the brain. When imaging deep inside of the brain, image signal-to-noise ratio (SNR) severely degrades by scattering, caused by the heterogeneity of different structures. Knowing the refractive index (RI) of the structures can reduce scattering effects and improve image SNR. Currently, most of RI imaging is based on coherent or partial coherent measurements of the transmitted scattered light field, whereas fluorescence microscopy for brain imaging only records incoherent fluorescence signal propagating back to the objective lens in epi-mode. Here, we propose a model to calculate the RI of the 3D scattering tissue only from fluorescence images in reflective geometry. Our method not only successfully reconstructed the RI of a 3D phantom, but also acquired fluorescence images and the unlabeled structures in the same volume simultaneously.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Xue and Laura Waller "Computational Hybrid Imaging: Measure Fluorescence and Refractive Index Together", Proc. SPIE 11649, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVIII, 116490W (5 March 2021); https://doi.org/10.1117/12.2579940
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KEYWORDS
Luminescence

3D modeling

Scattering

Light scattering

3D image processing

Refractive index

Tissues

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