Spatially Isotropic 3D Volumetric Reconstruction of Live Biological Cells with Multi-View Geometry

3D cell models are important for understanding cellular structures, their relationships and dynamics. Currently these are obtained via highly specialized and expensive equipment, such as confocal microscopes, which require experts in microscopy and 3D reconstruction to produce time and labor-intensi...

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Bibliographic Details
Published inProceedings (IEEE Conference on Multimedia Information Processing and Retrieval. Online) pp. 109 - 114
Main Authors Lei, Yang, Shkolnikov, Viktor, Xin, Daisy
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2022
Subjects
3D reconstruction
Cameras
Computational imaging
Computer vision
Digital microscopy
Fluorescence
Inverse problem
Mathematical models
Microscopy
Optical microscopy
Three-dimensional displays
Visualization
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Summary:3D cell models are important for understanding cellular structures, their relationships and dynamics. Currently these are obtained via highly specialized and expensive equipment, such as confocal microscopes, which require experts in microscopy and 3D reconstruction to produce time and labor-intensive insight into cellular dynamics. Furthermore, such reconstruction is generally spatially anisotropic. In contrast, we developed a system that performs volumetric reconstruction of live, biological cells in suspension that relies on standard fluorescence microscopy and performs automated, spatially isotropic 3D volumetric reconstruction. We rotate the cells using an electric field, while the video camera records 2D cell image sequences through the microscope. Our algorithm, the subject of this paper, then automatically reconstructs three-dimensional distributions of cellular structures. Here we define a linear mathematical model of the 3D reconstruction problem and solve it using the least square optimization method. We then demonstrate our system with the volumetric reconstruction of cellular structures in their endogenous state.
ISSN:2770-4319
DOI:10.1109/MIPR54900.2022.00026