An Extended Depth-of-Field Microscope Field-of-View Stitching-Based High-Throughput Multimodal Imaging Method

Optical microscopes are essential tools for scientific research, but traditional microscopes are restricted to capturing only two-dimensional (2D) texture information, lacking comprehensive three-dimensional (3D) morphology capabilities. Additionally, traditional microscopes are inherently constrained by the limited space-bandwidth product of optical systems, resulting in restricted depth of field (DOF) and field of view (FOV). Attempts to expand DOF and FOV typically come at the cost of diminished resolution. In this paper, we propose a texture-driven FOV stitching algorithm specifically designed for extended depth-of-field (EDOF) microscopy, allowing for the integration of 2D texture and 3D depth data to achieve high-resolution, high-throughput multimodal imaging. Experimental results demonstrate an 11-fold enhancement in DOF and an 8-fold expansion in FOV compared to traditional microscopes, while maintaining axial resolution after FOV extension.