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Fluorescence polarization microscopy images both the intensity and orientation of fluorescent dipoles, which plays a vital role in studying the molecular structure and dynamics of bio-complex. However, it is difficult to resolve the dipole…

Magnetic particle imaging (MPI) is a tracer-based imaging modality that detects superparamagnetic iron oxide nanoparticles in vivo, with applications in cancer cell tracking, lymph node mapping, and cell therapy monitoring. We introduce a…

Magnetic microscopy that combines nanoscale spatial resolution with picosecond scale temporal resolution uniquely enables direct observation of the spatiotemporal magnetic phenomena that are relevant to future high-speed, high-density…

Mesoscale and Nanoscale Physics · Physics 2021-07-07 Chi Zhang , Jason M. Bartell , Jonathan C. Karsch , Isaiah Gray , Gregory D. Fuchs

We aim to improve the Inverted Neural Radiance Fields (iNeRF) algorithm which defines the image pose estimation problem as a NeRF based iterative linear optimization. NeRFs are novel neural space representation models that can synthesize…

Computer Vision and Pattern Recognition · Computer Science 2023-10-06 Ágoston István Csehi , Csaba Máté Józsa

We present an ultra-thin hybrid imaging system based on an optical multimode fiber (MMF) and an optical fiber hydrophone that combines optical resolution photoacoustic and fluorescence microscopy. To control the illumination at the distal…

Magnetic particle imaging (MPI) is an imaging modality exploiting the nonlinear magnetization behavior of (super-)paramagnetic nanoparticles to obtain a space- and often also time-dependent concentration of a tracer consisting of these…

Image and Video Processing · Electrical Eng. & Systems 2020-07-06 Sören Dittmer , Tobias Kluth , Mads Thorstein Roar Henriksen , Peter Maass

Multi-photon microscopy is a powerful technique for deep-tissue imaging, providing high spatial resolution at increased penetration depth. Nevertheless, imaging remains largely restricted to superficial tissue layers well below 1 mm.…

Modern Neural Radiance Fields (NeRFs) learn a mapping from position to volumetric density leveraging proposal network samplers. In contrast to the coarse-to-fine sampling approach with two NeRFs, this offers significant potential for…

Computer Vision and Pattern Recognition · Computer Science 2024-04-12 Lukas Radl , Andreas Kurz , Michael Steiner , Markus Steinberger

Light-matter interactions are of fundamental scientific and technological interest. Ultrafast electron microscopy and diffraction with combined femtosecond-nanometer resolution elucidate the laser-induced dynamics in structurally…

Materials Science · Physics 2025-04-08 Till Domröse , Leonardo da Camara Silva , Claus Ropers

Neural Radiance Fields (NeRF) have exhibited highly effective performance for photorealistic novel view synthesis recently. However, the key limitation it meets is the reliance on a hand-crafted frequency annealing strategy to recover 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Rui Qian , Chenyangguang Zhang , Yan Di , Guangyao Zhai , Ruida Zhang , Jiayu Guo , Benjamin Busam , Jian Pu

Scanning X-ray nanodiffraction microscopy is a powerful technique for spatially resolving nanoscale structural morphologies by diffraction contrast. One of the critical challenges in experimental nanodiffraction data analysis is posed by…

Applied Physics · Physics 2024-06-26 Aileen Luo , Tao Zhou , Martin V. Holt , Andrej Singer , Mathew J. Cherukara

High-fidelity sensor simulation of light-based sensors such as cameras and LiDARs is critical for safe and accurate autonomy testing. Neural radiance field (NeRF)-based methods that reconstruct sensor observations via ray-casting of…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Yun Chen , Matthew Haines , Jingkang Wang , Sahil Jain , Krzysztof Baron-Lis , Sivabalan Manivasagam , Ze Yang , Raquel Urtasun

Polarized light microscopy provides high contrast to birefringent specimen and is widely used as a diagnostic tool in pathology. However, polarization microscopy systems typically operate by analyzing images collected from two or more light…

The polarization of light conveys crucial information about the spatial ordering and optical properties of a specimen. However, precise polarization measurement in challenging conditions, including constrained spaces, low light levels, and…

Optics · Physics 2026-03-10 Martin Bielak , Dominik Vašinka , Miroslav Ježek

Neural Radiance Fields (NeRF) offer the potential to benefit 3D reconstruction tasks, including aerial photogrammetry. However, the scalability and accuracy of the inferred geometry are not well-documented for large-scale aerial…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Ningli Xu , Rongjun Qin , Debao Huang , Fabio Remondino

Fluorescence microscopy is rapidly turning into nanoscopy. Among the various nanoscopy methods, the STED/RESOLFT super-resolution family has recently been expanded to image even large fields of view within a few seconds. This advance relies…

The mid-infrared region is crucial for elucidating the unique biochemical signatures of microorganisms. The MIR resonant structures turned out to facilitate exceptional performance owing to the enhance electric field confinement in the…

Mesoscale and Nanoscale Physics · Physics 2024-11-15 Pooja Sudha , Anil kumar , Kunal Dhankar , Khalid Ansari , Sugata Hazra , Arup Samanta

Spatial filtering is an important mechanism to improve the spatial quality of laser beams. Typically, a confocal arrangement of lenses with a diaphragm in the focal plane is used for intracavity spatial filtering. Such conventional…

While neural radiance fields (NeRF) led to a breakthrough in photorealistic novel view synthesis, handling mirroring surfaces still denotes a particular challenge as they introduce severe inconsistencies in the scene representation.…

Computer Vision and Pattern Recognition · Computer Science 2025-01-09 Leif Van Holland , Michael Weinmann , Jan U. Müller , Patrick Stotko , Reinhard Klein

Neural Radiance Fields (NeRF) with hybrid representations have shown impressive capabilities for novel view synthesis, delivering high efficiency. Nonetheless, their performance significantly drops with sparse input views. Various…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Yuru Xiao , Deming Zhai , Wenbo Zhao , Kui Jiang , Junjun Jiang , Xianming Liu