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This paper presents the mechanical design of a distal scanner to perform a spiral scan for mosaic-imaging with a confocal microlaparoscope. First, it is demonstrated with ex vivo experiments that a spiral scan performs better than a raster…

Robotics · Computer Science 2018-04-16 Mustafa Suphi Erden , Benoît Rosa , Jérome Szewczyk , Guillaume Morel

Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the sam- ples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its…

Quantitative Methods · Quantitative Biology 2014-12-03 Stephan Preibisch , Fernando Amat , Evangelia Stamataki , Mihail Sarov , Robert H. Singer , Eugene Myers , Pavel Tomancak

An improved method of remote optical absorption spectroscopy and hyperspectral optical absorption imaging is described which takes advantage of the photoacoustic remote sensing detection architecture. A wide range of photoacoustic…

Biological Physics · Physics 2021-08-04 Kevan Bell , Lyazzat Mukhangaliyeva , Layla Khalili , Parsin Haji Reza

Multi-Focus Image Fusion seeks to improve the quality of an acquired burst of images with different focus planes. For solving the task, an activity level measurement and a fusion rule are typically established to select and fuse the most…

Computer Vision and Pattern Recognition · Computer Science 2019-08-30 Fidel Alejandro Guerrero Peña , Pedro Diamel Marrero Fernández , Tsang Ing Ren , Germano Crispim Vasconcelos , Alexandre Cunha

Widefield microscopy methods applied to optically thick specimens are faced with reduced contrast due to spatial crosstalk, in which the signal at each point is the result of a superposition from neighboring points that are simultaneously…

Obtaining high quality images of the spinal cord with MRI is difficult, partly due to the fact that the spinal cord is surrounded by a number of structures that have differing magnetic susceptibility. This causes inhomogeneities in the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-09 E. Alonso-Ortiz , D. Papp , A. D'Astous , J. Cohen-Adad

This study's objective was to segment spinal metastases in diagnostic MR images using a deep learning-based approach. Segmentation of such lesions can present a pivotal step towards enhanced therapy planning and validation, as well as…

Image and Video Processing · Electrical Eng. & Systems 2020-01-29 Georg Hille , Johannes Steffen , Max Dünnwald , Mathias Becker , Sylvia Saalfeld , Klaus Tönnies

Distinct selectivity to the spin angular momenta of photons have garnered significant attention in recent years, for their relevance in basic science and for imaging and sensing applications. While nonlocal metasurfaces with strong chiral…

Optics · Physics 2025-07-04 Minho Choi , Andrea Alù , Arka Majumdar

Omnidirectional depth sensing has its advantage over the conventional stereo systems since it enables us to recognize the objects of interest in all directions without any blind regions. In this paper, we propose a novel wide-baseline…

Computer Vision and Pattern Recognition · Computer Science 2019-08-19 Changhee Won , Jongbin Ryu , Jongwoo Lim

The capability of focus control has been central to optical technologies that require both high temporal and spatial resolutions. However, existing varifocal lens schemes are commonly limited to the response time on the microsecond…

Segmentation of retinal vessels from retinal fundus images is the key step in the automatic retinal image analysis. In this paper, we propose a new unsupervised automatic method to segment the retinal vessels from retinal fundus images.…

Computer Vision and Pattern Recognition · Computer Science 2017-07-21 Renoh Johnson Chalakkal , Waleed Abdulla

Fluoroscopy is critical for real-time X-ray visualization in medical imaging. However, low-dose images are compromised by noise, potentially affecting diagnostic accuracy. Noise reduction is crucial for maintaining image quality, especially…

Image and Video Processing · Electrical Eng. & Systems 2024-11-05 Sun-Young Jeon , Sen Wang , Adam S. Wang , Garry E. Gold , Jang-Hwan Choi

Strong enhancement of molecular circular dichroism has the potential to enable efficient asymmetric photolysis, a method of chiral separation that has conventionally been impeded by insufficient yield and low enantiomeric excess. Here, we…

We present a method to address the challenging problem of segmentation of lumbar vertebrae from CT images acquired with varying fields of view. Our method is based on cascaded 3D Fully Convolutional Networks (FCNs) consisting of a…

Computer Vision and Pattern Recognition · Computer Science 2017-12-06 Rens Janssens , Guodong Zeng , Guoyan Zheng

Diffusion-weighted magnetic resonance imaging (DW-MRI) can be used to characterise the microstructure of the nervous tissue, e.g. to delineate brain white matter connections in a non-invasive manner via fibre tracking. Magnetic Resonance…

We present a versatile imaging scheme for fermionic $^6$Li atoms with single-particle sensitivity. Our method works for freely propagating particles and completely eliminates the need for confining potentials during the imaging process. We…

We demonstrate an electro-optic wide-field method to enable fluorescence lifetime microscopy (FLIM) with high throughput and single-molecule sensitivity. Resonantly driven Pockels cells are used to efficiently gate images at 39 MHz,…

Optics · Physics 2021-09-23 Adam J. Bowman , Mark A. Kasevich

Two-dimensional, resonant scanners have been utilized in a large variety of imaging modules due to their compact form, low power consumption, large angular range, and high speed. However, resonant scanners have problems with non-optimal and…

Image and Video Processing · Electrical Eng. & Systems 2023-05-05 Zhanghao Sun , Ronald Quan , Olav Solgaard

Label-free imaging of rapidly moving, sub-diffraction sized structures has important applications in both biology and material science, as it removes the limitations associated with fluorescence tagging. However, unlabeled nanoscale…

In vivo calcium imaging through microscopes has enabled deep brain imaging of previously inaccessible neuronal populations within the brains of freely moving subjects. However, microendoscopic data suffer from high levels of background…