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ELOS 2025

Super-resolution image reconstruction framework based on the joint spatial-frequency reconstruction method

Tianyu Zhao, Speaker at Optics Conferences
Xian Jiaotong University, China
Title : Super-resolution image reconstruction framework based on the joint spatial-frequency reconstruction method

Abstract:

Super-resolution structured illumination microscopy (SR-SIM) is finding increasing application in biomedical research due to its capacities of high-speed imaging and minimzing photodamage, which is superior capability to visualize the subcellular dynamics in living cells. However, an issue that has plagued SR-SIM since its inception, is an inefficient imaging process resulting from a disjointed workflow and slow, complex, reconstruction algorithms. This nullifies real-time imaging as 4 to 8 s is required to reconstruct a single SR image of 1024 × 1024 pixels in size and impedes the widespread application of SR-SIM among biologists. We have presented the Joint Spatial-Frequency Reconstruction method (JSFR-SIM), which recovers the super-resolution image in the spatial domain with a simplified workflow, and optimizes the image qualities in the frequency domain. Here we used this method as a framework to improve the application of SIM. To reduce the reconstruction artifacts, we firstly integrate the high-fidelity reconstruction algorithm (HiFi-SIM) based on PSF engineering with our JSFR method, ensuring high quality reconstruction results and improving reconstruction speed. We achieve real-time reconstruction, display and storage of high-fidelity, super-resolved images of live cells. Secondly, the framework is introduced into 3D-SIM and shorten the single-frame reconstruction time into 11 ms@1024×1024 pixels, providing a real-time imaging scheme for 3D super-resolution results preview. Finally, we extend the framework into nonlinear SIM, and compress the time into 8.7 ms@1536×1536 pixels for reconstructing a second-order nonlinear SIM data with 63 original images. These results demonstrate that our methods break through the traditional frequency domain reconstruction framework in SR-SIM and speed up the super-resolution image reconstruction. The JSFR-SIM will greatly improve the work efficiency of biologists and facilitate SR-SIM as a routine tool in more biomedical laboratories.

Biography:

Tianyu Zhao is an assistant professor at Xi’an Jiaotong University. He received his BS degree in electronic science and technology from Tianjin University in 2014, and his PhD in optics from Xi’ an Institute of Optics and Precision Mechanics in 2021. His current research interests include super-resolution structured illumination microscopy and three-dimensional imaging. has published more than 20 research articles in SCI (E) journals including The Innovation, Advanced Photonics, Biomedical Optics Express, Optics and Lasers in Engineering, etc.

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