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Cameras in modern devices such as smartphones, satellites and medical equipment are capable of capturing very high resolution images and videos. Such high-resolution data often need to be processed by deep learning models for cancer…

Computer Vision and Pattern Recognition · Computer Science 2022-12-07 Arian Bakhtiarnia , Qi Zhang , Alexandros Iosifidis

Endomicroscopy is an emerging imaging modality, that facilitates the acquisition of in vivo, in situ optical biopsies, assisting diagnostic and potentially therapeutic interventions. While there is a diverse and constantly expanding range…

Computer Vision and Pattern Recognition · Computer Science 2020-01-01 Antonios Perperidis , Kevin Dhaliwal , Stephen McLaughlin , Tom Vercauteren

Mass spectrometry imaging (MSI) as an analytical tool for bio-molecular and bio-medical research targets, accurate compound localization and identification. In terms of dedicated instrumentation, this translates into the demand for more…

Instrumentation and Detectors · Physics 2013-05-24 Julia H. Jungmann , Ron M. A. Heeren

Remote sensing image super-resolution (RSISR) is a crucial task in remote sensing image processing, aiming to reconstruct high-resolution (HR) images from their low-resolution (LR) counterparts. Despite the growing number of RSISR methods…

Image and Video Processing · Electrical Eng. & Systems 2025-11-04 Yunliang Qi , Meng Lou , Yimin Liu , Lu Li , Zhen Yang , Wen Nie

For several centuries, far-field optical microscopy has remained a key instrument in many scientific disciplines including physical, chemical and biomedical research. Nonetheless, far-field imaging has many limitations: the spatial…

Optics · Physics 2020-01-27 Lyubov V. Amitonova , Johannes F. de Boer

Super-resolution microscopy has catalyzed valuable insights into the sub-cellular, mechanistic details of many different biological processes across a wide range of cell types. Fluorescence polarization spectroscopy tools have also enabled…

Biological Physics · Physics 2023-01-25 Jack W Shepherd , Alex L Payne-Dwyer , Ji-Eun Lee , Aisha Syeda , Mark C Leake

This paper introduces an innovative methodology for producing high-quality 3D lung CT images guided by textual information. While diffusion-based generative models are increasingly used in medical imaging, current state-of-the-art…

Image and Video Processing · Electrical Eng. & Systems 2024-10-16 Yanwu Xu , Li Sun , Wei Peng , Shuyue Jia , Katelyn Morrison , Adam Perer , Afrooz Zandifar , Shyam Visweswaran , Motahhare Eslami , Kayhan Batmanghelich

Analysis of microscopy images can provide insight into many biological processes. One particularly challenging problem is cell nuclear segmentation in highly anisotropic and noisy 3D image data. Manually localizing and segmenting each and…

Computer Vision and Pattern Recognition · Computer Science 2013-09-18 Christian Widmer , Philipp Drewe , Xinghua Lou , Shefali Umrania , Stephanie Heinrich , Gunnar Rätsch

Diffusion models are important in tissue engineering as they enable an understanding of molecular delivery to cells in tissue constructs. As three-dimensional (3D) tissue constructs become larger, more intricate, and more clinically…

Tissues and Organs · Quantitative Biology 2015-12-22 Richard J. McMurtrey

Electrospinning is historically related to tissue engineering due to its ability to produce nano-/microscale fibrous materials with mechanical and functional properties that are extremely similar to those of the extracellular matrix of…

Histopathology plays a pivotal role in medical diagnostics. In contrast to preparing permanent sections for histopathology, a time-consuming process, preparing frozen sections is significantly faster and can be performed during surgery,…

Image and Video Processing · Electrical Eng. & Systems 2023-10-18 Elad Yoshai , Gil Goldinger , Miki Haifler , Natan T. Shaked

Endoscopic ultrasound (EUS) imaging has a trade-off between resolution and penetration depth. By considering the in-vivo characteristics of human organs, it is necessary to provide clinicians with appropriate hardware specifications for…

Image and Video Processing · Electrical Eng. & Systems 2023-09-14 Hah Min Lew , Jae Seong Kim , Moon Hwan Lee , Jaegeun Park , Sangyeon Youn , Hee Man Kim , Jihun Kim , Jae Youn Hwang

Although several optical techniques have been recently developed in order to overcome the resolution limit in microscopy, the imaging of sub-wavelength features is still a real challenge. In practise, super-resolution techniques remain…

Physics Education · Physics 2019-07-24 Stephane Perrin , Keshia Badu , Paul Montgomery , Sylvain Lecler

Super-resolution fluorescence microscopy overcomes blurring arising from light diffraction, allowing the reconstruction of fine scale details in biological structures. Standard methods come at the expense of long acquisition time and/or…

Optimization and Control · Mathematics 2021-10-12 Bastien Laville , Laure Blanc-Féraud , Gilles Aubert

MRI is an indispensable clinical tool, offering a rich variety of tissue contrasts to support broad diagnostic and research applications. Clinical exams routinely acquire multiple structural sequences that provide complementary information…

Image and Video Processing · Electrical Eng. & Systems 2025-10-03 Tolga Çukur , Salman U. H. Dar , Valiyeh Ansarian Nezhad , Yohan Jun , Tae Hyung Kim , Shohei Fujita , Berkin Bilgic

Fluorescence microscopy is a critical tool across various disciplines, from materials science to biomedical research, yet it is limited by the diffraction limit of resolution. Advanced super-resolution techniques such as localization…

Image registration plays an important role in comparing images. It is particularly important in analyzing medical images like CT, MRI, PET, etc. to quantify different biological samples, to monitor disease progression and to fuse different…

Computer Vision and Pattern Recognition · Computer Science 2018-10-22 Abdullah Nazib , Clinton Fookes , Dimitri Perrin

Microtechnology becomes a versatile tool for biological and biomedical applications. Microwells have been established long but remained non-intelligent up to now. Merging new fabrication techniques and handling concepts with…

Other Computer Science · Computer Science 2008-02-22 E. Jung , D. Manessis , A. Neumann , L. Bottcher , T. Braun , J. Bauer , H. Reichl , B. Iafelice , F. Destro , R. Gambari

Lensless imaging is an elegant approach to high-resolution microscopy, which is rapidly gaining popularity in applications where imaging optics are problematic. However, current lensless imaging methods require objects to be placed within a…

Increasing demand for understanding the vast heterogeneity of cellular phenotypes has driven the development of imaging flow cytometry (IFC), that combines features of flow cytometry with fluorescence and bright field microscopy. IFC…

Quantitative Methods · Quantitative Biology 2019-02-06 Yuanyuan Han , Rui Tang , Yi Gu , Alex Ce Zhang , Wei Cai , Violet Castor , Sung Hwan Cho , William Alaynick , Yu-Hwa Lo