4 papers
Learning Transferable Self-Supervised Priors for Super-Resolution Reconstruction in Structured Illumination Microscopy
Tong-Tian Weng, Ze-Hao Wang, Qi Wang +3
Structured illumination microscopy (SIM) extends the optical passband, and reconstruction of detail beyond it depends on prior knowledge. Hand-designed regularizers depend on how w…
Self-supervised prior learning improves structured illumination microscopy resolution
Ze-Hao Wang, Tong-Tian Weng, Long-Kun Shan +4
Structured illumination microscopy (SIM) is a wide-field super-resolution technique normally limited to roughly twice the diffraction-limited resolution (--~nm).…
Enhancing Deep Learning Based Structured Illumination Microscopy Reconstruction with Light Field Awareness
Long-Kun Shan, Ze-Hao Wang, Tong-Tian Weng +2
Structured illumination microscopy (SIM) is a pivotal technique for dynamic subcellular imaging in live cells. Conventional SIM reconstruction algorithms depend on accurately estim…
Learning imaging mechanism directly from optical microscopy observations
Ze-Hao Wang, Long-Kun Shan, Tong-Tian Weng +6
Optical microscopy image plays an important role in scientific research through the direct visualization of the nanoworld, where the imaging mechanism is described as the convoluti…