Light sheet fluorescence microscopy (LSFM) uses a thin sheet of light to excite only
fluorophores within the focal volume. Light sheet microscopes (LSMs) have a true optical …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

The joint design of the optical system and the downstream algorithm is a challenging and
promising task. Due to the demand for balancing the global optima of imaging systems and …

Light sheet fluorescence microscopy (LSFM) is a high-speed imaging technique that is often
used to image intact tissue-cleared specimens with cellular or subcellular resolution. Like …

Fluorescence microscopy is an invaluable tool in biology, yet its performance is
compromised when the wavefront of light is distorted due to optical imperfections or the …

In this Letter, we propose a deep learning method with prior knowledge of potential
aberration to enhance the fluorescence microscopy without additional hardware. The …

This Letter introduces the idea of unsupervised learning into object-independent wavefront
sensing for the first time, to the best of our knowledge, which can achieve fast phase …

The successful investigation of photosensitive and dynamic biological events, such as those
in a proliferating tissue or a dividing cell, requires non-intervening high-speed imaging …

We propose a general framework for solving inverse problems in the presence of noise that
requires no signal prior, no noise estimate, and no clean training data. We only require that …

We demonstrate a miniaturized broadband spectrometer employing a reconstruction
algorithm for resolution enhancement. We use an opto-digital co-design approach, by firstly …