Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy
Super-resolution structured illumination microscopy (SR-SIM) relies heavily on post-processing reconstruction to obtain high-quality SR images from raw data. Although many SIM reconstruction algorithms have been developed to recover fine cellular structures with high fidelity even from the noisy dat...
Saved in:
Main Authors: | Yujun Tang, Linbo Wang, Gang Wen, Hui Li |
---|---|
Format: | Article |
Language: | English |
Published: |
World Scientific Publishing
2025-01-01
|
Series: | Journal of Innovative Optical Health Sciences |
Subjects: | |
Online Access: | https://www.worldscientific.com/doi/10.1142/S1793545824500263 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Diffusion models for super-resolution microscopy: a tutorial
by: Harshith Bachimanchi, et al.
Published: (2025-01-01) -
Super-Resolution Reconstruction of Motor Long-Wave Infrared Images Based on Improved USR-Net
by: Darong Zhu, et al.
Published: (2025-01-01) -
High-Fidelity Depth Map Reconstruction System With RGB-Guided Super Resolution CNN and Cross-Calibrated Chaos LiDAR
by: Yu-Chun Ding, et al.
Published: (2025-01-01) -
Super-resolution microscopy: Shedding new light on blood cell imaging
by: Huan Deng, et al.
Published: (2025-01-01) -
MDRN: Multi-distillation residual network for efficient MR image super-resolution
by: Liwei Deng, et al.
Published: (2024-10-01)