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Digital Image Correlation (DIC) is of vital importance in the field of experimental mechanics, yet, producing suitable DIC patterns for demanding in-situ mechanical tests remains challenging, especially for ultra-fine patterns, despite the…

Applied Physics · Physics 2019-08-20 Johan Hoefnagels , Marc van Maris , Tijmen Vermeij

We present a new instance segmentation approach tailored to biological images, where instances may correspond to individual cells, organisms or plant parts. Unlike instance segmentation for user photographs or road scenes, in biological…

Computer Vision and Pattern Recognition · Computer Science 2020-04-24 Victor Kulikov , Victor Lempitsky

Proteins typically undergo conformational dynamics on the microsecond to millisecond timescale as they perform their function, which is much faster than the time-resolution of cryo-electron microscopy and has thus prevented real-time…

Biological Physics · Physics 2021-07-07 Jonathan M. Voss , Oliver F. Harder , Pavel K. Olshin , Marcel Drabbels , Ulrich J. Lorenz

Most state-of-the-art localization algorithms rely on robust relative pose estimation and geometry verification to obtain moving object agnostic camera poses in complex indoor environments. However, this approach is prone to mistakes if a…

Computer Vision and Pattern Recognition · Computer Science 2022-09-22 Martina Dubenova , Anna Zderadickova , Ondrej Kafka , Tomas Pajdla , Michal Polic

This paper presents an application of digital Fourier holography for selective imaging of scatterers with different sizes in turbid media such as biological tissues. A combination of Fourier holography and high-resolution digital recording,…

Optics · Physics 2007-05-23 Sergey A. Alexandrov , P. Meredith , T. J. McIntyre , A. V. Zvyagin

This paper describes a micro fluorescence in situ hybridization ({\mu}FISH)-based rapid detection of cytogenetic biomarkers on formalin-fixed paraffin embedded (FFPE) tissue sections. We demonstrated this method in the context of detecting…

Tissues and Organs · Quantitative Biology 2018-06-19 Deborah Huber , Govind V. Kaigala

Diagnosis of fungal infections can rely on microscopic examination, however, in many cases, it does not allow unambiguous identification of the species due to their visual similarity. Therefore, it is usually necessary to use additional…

Computer Vision and Pattern Recognition · Computer Science 2020-10-14 Bartosz Zieliński , Agnieszka Sroka-Oleksiak , Dawid Rymarczyk , Adam Piekarczyk , Monika Brzychczy-Włoch

Accurate classification of second-trimester fetal ultrasound images remains challenging due to low image quality, high intra-class variability, and significant class imbalance. In this work, we introduce a simple yet powerful, biologically…

Image and Video Processing · Electrical Eng. & Systems 2025-06-11 Rinat Prochii , Elizaveta Dakhova , Pavel Birulin , Maxim Sharaev

The in vitro clonogenic assay is a technique to study the ability of a cell to form a colony in a culture dish. By optical imaging, dishes with stained colonies can be scanned and assessed digitally. Identification, segmentation and…

Computer Vision and Pattern Recognition · Computer Science 2022-02-15 Delmon Arous , Stefan Schrunner , Ingunn Hanson , Nina F. J. Edin , Eirik Malinen

Histopathology refers to the examination by a pathologist of biopsy samples. Histopathology images are captured by a microscope to locate, examine, and classify many diseases, such as different cancer types. They provide a detailed view of…

Image and Video Processing · Electrical Eng. & Systems 2020-11-12 Naira Elazab , Hassan Soliman , Shaker El-Sappagh , S. M. Riazul Islam , Mohammed Elmogy

We introduce the so called DeepParticle method to learn and generate invariant measures of stochastic dynamical systems with physical parameters based on data computed from an interacting particle method (IPM). We utilize the expressiveness…

Machine Learning · Computer Science 2022-06-22 Zhongjian Wang , Jack Xin , Zhiwen Zhang

Multiple Instance Learning (MIL) has garnered widespread attention in the field of Whole Slide Image (WSI) classification as it replaces pixel-level manual annotation with diagnostic reports as labels, significantly reducing labor costs.…

Image and Video Processing · Electrical Eng. & Systems 2025-07-08 Tianhang Nan , Hao Quan , Yong Ding , Xingyu Li , Kai Yang , Xiaoyu Cui

Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the relevance of autonomous systems for their detection and…

We present a comprehensive study on fully automated pollen recognition across both conventional optical and digital in-line holographic microscopy (DIHM) images of sample slides. Visually recognizing pollen in unreconstructed holographic…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Swarn S. Warshaneyan , Maksims Ivanovs , Blaž Cugmas , Inese Bērziņa , Laura Goldberga , Mindaugas Tamosiunas , Roberts Kadiķis

The development of robust, real-time optical methods for the detection and tracking of particles in complex multiple scattering media is a problem of practical importance in a number of fields, including environmental monitoring, air…

Optics · Physics 2025-02-04 Mohammadrasoul Taghavi , Edwin A. Marengo

Deep Learning (DL) requires lots of time and data, resulting in high computational demands. Recently, researchers employ Active Learning (AL) and online distillation to enhance training efficiency and real-time model adaptation. This paper…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Michele Boldo , Enrico Martini , Mirco De Marchi , Stefano Aldegheri , Nicola Bombieri

We use bootstrapping to estimate the bias of concentration estimates on N-body dark matter halos as a function of particle number. We find that algorithms based on the maximum radial velocity and radial particle binning tend to overestimate…

Cosmology and Nongalactic Astrophysics · Physics 2016-12-14 C. N. Poveda-Ruiz , J. E. Forero-Romero , J. C. Muñoz-Cuartas

Precision medicine has become a central focus in breast cancer management, advancing beyond conventional methods to deliver more precise and individualized therapies. Traditionally, histopathology images have been used primarily for…

Quantitative Methods · Quantitative Biology 2024-12-17 Suchithra Kunhoth , Somaya Al- Maadeed , Younes Akbari , Rafif Al Saady

The p16/Ki-67 dual staining method is a new approach for cervical cancer screening with high sensitivity and specificity. However, there are issues of mis-detection and inaccurate recognition when the YOLOv5s algorithm is directly applied…

Artificial Intelligence · Computer Science 2024-12-03 Xiao-Jun Wu , Cai-Jun Zhao , Chun Meng , Hang Wang

Efficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle production process to obtain required attributes will be…

Data Analysis, Statistics and Probability · Physics 2016-03-11 Okpeafoh S. Agimelen , Anna Jawor-Baczynska , John McGinty , Christos Tachtatzis , Jerzy Dziewierz , Ian Haley , Jan Sefcik , Anthony J. Mulholland
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