Chang Fu Qiao

This paper introduces Meta-rLLS-VSIM, a super-resolution microscopy technique that achieves near-isotropic resolution with reduced training time and data requirements.

This paper introduces a time-lapse image super-resolution neural network with confidence quantification for optical microscopy, improving temporal consistency and reliability.