Here, we present a framework for artificial intelligence–enhanced microscopy, integrating a hybrid light-field light-sheet microscope and deep learning–based volume reconstruction. In our approach, concomitantly acquired, high-resolution two-dimensional light-sheet images continuously serve as training ...
Biological super-resolution microscopy is a new generation of imaging techniques that overcome the ~200 nm diffraction limit of conventional light microscopy in spatial resolution. By providing novel spatial or spatiotemporal information on biological pr
Application of the deep learning enhanced lensless microendoscope. (a) Sketch illustrates employing the lensless microendoscope for holographic photoactivation in mouse brain with minimum invasiveness. The tailored CGHs are generated on the fly by CoreNet. (b) Schematic demonstrates the MCF-based lab...
the refresh rate of digital micro-mirror devices (DMDs) has significantly increased, reaching tens of thousands fps, while at an affordable price. This motivated us to combine computational imaging and deep learning to encode temporal information in space and break through...
Deep Learning Microscopy: Enhancing Resolution, Field-of-View and Depth-of-Field of Optical Microscopy Images Using Neural Networks We demonstrate the ability of deep convolutional neural networks to significantly enhance the spatial resolution, field-of-view and depth-of-field of optic... Y Rivenso...
The concept of deep learning-based parallel (DLBP) camera is inspired by mantis shrimp compound eyes and zoom camera. The DLBP camera provides an approach to make the real-time computational zoom possible over any area of the stitched FOV, especially at the edge of FOV that is sacrificed help...
Light-field microscopy (LFM) has recently emerged as a powerful tool for rapid volumetric imaging. The presence of spherical aberration in LFM will cause substantial changes of the point spread function (PSF) and thus greatly affects the imaging performance. Here, the aberration-modeling view-...
Structured illumination microscopy (SIM) surpasses the optical diffraction limit and offers a two-fold enhancement in resolution over diffraction limited microscopy. However, it requires both intense illumination and multiple acquisitions to produce a single high-resolution image. Using deep learning to aug...
Laser scanning microscopy has inherent tradeoffs between imaging speed, field of view (FOV), and spatial resolution due to the limitations of sophisticated mechanical and optical setups, and deep learning networks have emerged to overcome these limitatio
Light: Science & Applications (2024) Functional photoacoustic imaging: from nano- and micro- to macro-scale Byullee Park Donghyeon Oh Chulhong Kim Nano Convergence (2023) Enhanced resolution and sensitivity acoustic-resolution photoacoustic microscopy with semi/unsupervised GANs Thanh Dat Le Jung-...