Images captured underwater often encounter quality degradation issues, such as blurring of details, low contrast, non-uniform illumination, and colour deviations. Like a significant challenge in ...

Computational image enhancement for microscopy facilitates cutting-edge biological discovery. While promising, the commonly used deep learning methods are computationally expensive owing to the use of ...

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...