Live-cell imaging powered by computation
The proliferation of microscopy methods for live-cell imaging offers many new possibilities
for users but can also be challenging to navigate. The prevailing challenge in live-cell …
for users but can also be challenging to navigate. The prevailing challenge in live-cell …
Direct observation of atmospheric turbulence with a video-rate wide-field wavefront sensor
Y Guo, Y Hao, S Wan, H Zhang, L Zhu, Y Zhang… - Nature …, 2024 - nature.com
Turbulence is a complex and chaotic state of fluid motion. Atmospheric turbulence within the
Earth's atmosphere poses fundamental challenges for applications such as remote sensing …
Earth's atmosphere poses fundamental challenges for applications such as remote sensing …
Fourier ptychographic microscopy image stack reconstruction using implicit neural representations
Image stacks provide invaluable 3D information in various biological and pathological
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
Noninvasive megapixel fluorescence microscopy through scattering layers by a virtual incoherent reflection matrix
Optical-resolution fluorescence imaging through and within complex samples presents a
major challenge due to random light scattering, with substantial implications across multiple …
major challenge due to random light scattering, with substantial implications across multiple …
Image-guided computational holographic wavefront sha**
Optical imaging through scattering media is important in a variety of fields ranging from
microscopy to autonomous vehicles. Although advanced wavefront sha** techniques …
microscopy to autonomous vehicles. Although advanced wavefront sha** techniques …
Local conditional neural fields for versatile and generalizable large-scale reconstructions in computational imaging
Deep learning has transformed computational imaging, but traditional pixel-based
representations limit their ability to capture continuous, multiscale details of objects. Here we …
representations limit their ability to capture continuous, multiscale details of objects. Here we …
FPM-INR: Fourier ptychographic microscopy image stack reconstruction using implicit neural representations
Image stacks provide invaluable 3D information in various biological and pathological
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …
Deep learning enhanced quantum holography with undetected photons
Holography is an essential technique of generating three-dimensional images. Recently,
quantum holography with undetected photons (QHUP) has emerged as a groundbreaking …
quantum holography with undetected photons (QHUP) has emerged as a groundbreaking …
CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
Abstract Point-spread-function (PSF) engineering is a well-established computational
imaging technique that uses phase masks and other optical elements to embed extra …
imaging technique that uses phase masks and other optical elements to embed extra …
WaveMo: Learning Wavefront Modulations to See Through Scattering
Imaging through scattering media is a fundamental and pervasive challenge in fields
ranging from medical diagnostics to astronomy. A promising strategy to overcome this …
ranging from medical diagnostics to astronomy. A promising strategy to overcome this …