Article
Chemistry, Multidisciplinary
Lei Wang, Zhi-Gang Wang, Di Ning, Yusi Hu, Shu-Lin Liu, Dai-Wen Pang
Summary: In this study, a new ECL nanoemitter was developed for real-time multicolor imaging of biomolecules on cell membranes. The nanoemitter consisted of quantum dots with immobilized glucose oxidase, which could catalyze glucose oxidation to produce hydrogen peroxide. This nanoemitter allowed sequential real-time imaging with a high signal-to-noise ratio, enabling the visualization of dynamic behaviors of individual biomolecules on cell membranes.
Article
Chemistry, Multidisciplinary
Janghoon Choi
Summary: This paper proposes a target-aware feature bottleneck module for visual trackers, which adjusts the feature representation and changes the importance of features to improve the speed and accuracy of visual tracking.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Analytical
Xuan Gong, Zichun Le, Yukun Wu, Hui Wang
Summary: This paper introduced a new MOT framework focusing on solving multiway concurrency scenarios by expanding the width and depth of the tracking-by-detection model to support processing multiple video sequences simultaneously. Additionally, system-level optimization was utilized to accelerate deep neural network inference in the tracking algorithm. Experimental results demonstrated good performance in processing multiple concurrent real-time video streams.
Article
Biochemical Research Methods
Daniel Schindler, Ted Moldenhawer, Maike Stange, Valentino Lepro, Carsten Beta, Matthias Holschneider, Wilhelm Huisinga
Summary: The article introduces a method based on curve flow for extracting cell morphology features from microscopy image sequences, and provides an open-source software package called AmoePy for analyzing amoeboid cell motility. This method allows for the automated extraction of properties of cell shape changes, including expansion area and growth time.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Review
Chemistry, Multidisciplinary
Bertus van Heerden, Nicholas A. Vickers, Tjaart P. J. Kruger, Sean B. Andersson
Summary: This review article explores the applications and key components of real-time feedback-driven single-particle tracking (RT-FD-SPT) techniques, including feedback tracking and control, particle location estimation, and method calibration and characterization. It introduces a collection of metrics to guide experimentalists in selecting suitable methods and identifies opportunities for further development.
Article
Computer Science, Artificial Intelligence
Pengyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang
Summary: This study introduces a novel attribute-driven representation network to enhance RGB-T tracking performance by mining attribute-specific properties, achieving competitive real-time tracking results. The major and special challenges are divided into four typical attributes, and an attribute-driven residual branch is designed to build a powerful residual representation, with these representations being aggregated in channel and pixel levels using an attribute ensemble network.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2021)
Article
Biochemistry & Molecular Biology
Ori Ossmy, Brianna E. Kaplan, Danyang Han, Melody Xu, Catherine Bianco, Roy Mukamel, Karen E. Adolph
Summary: Planning multi-step actions is crucial for survival and a sign of intelligence. Previous research used a top-down approach, while this study takes a bottom-up approach to examine the developmental changes in the real-time interaction between perceptual, neural, and motor components of action planning.
Article
Robotics
Huiying Gong, Lu Li, Jinyu Qiu, Yatong Yao, Yaowei Liu, Maosheng Cui, Qili Zhao, Xin Zhao, Mingzhu Sun
Summary: An automatic cell rotation method is proposed based on real-time detection and tracking of the polar body, which combines image segmentation and visual tracking. The system achieved high success rates for mouse and porcine oocytes, demonstrating effectiveness, stability, and high speed in automatic cell rotation in 3D.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Biochemical Research Methods
Bo-Jui Chang, James D. Manton, Etai Sapoznik, Theresa Pohlkamp, Tamara S. Terrones, Erik S. Welf, Vasanth S. Murali, Philippe Roudot, Kayley Hake, Lachlan Whitehead, Andrew G. York, Kevin M. Dean, Reto Fiolka
Summary: Multiangle projection imaging accelerates volumetric imaging by converting any camera-based microscope with optical sectioning capability into a system that can capture images from multiple perspectives. This method reduces data overhead, speeds up imaging, and allows for real-time stereoscopic imaging and three-dimensional particle localization. The technology has been successfully demonstrated on various microscopes and specimens, showing potential applications in cancer cell morphodynamics, calcium signaling, and simultaneous imaging of multiple perspectives of a beating heart.
Article
Engineering, Civil
Wooyoung Na, Chulsang Yoo
Summary: This study proposes a novel user-friendly and post-processing approach for rainfall nowcast bias correction. The approach, called biward tracking (BiT) technique, is effectively applied for real-time bias correction of rainfall nowcast in Korea. The findings confirm that the BiT-based method outperforms the conventional method, as it provides reasonable correction ratios without outliers and produces rainfall nowcasts close to the ground observations, while the conventional method produces overestimated outliers, even worse than the uncorrected rainfall nowcasts.
JOURNAL OF HYDROLOGY
(2023)
Article
Automation & Control Systems
Xiaojing Li, Lei Huang, Guanqun Wei, Zhiqiang Wei
Summary: The proposed method combines DCF and Siamese network in a tracking framework for efficient real-time visual tracking, with an effective tracker switch method introduced to improve tracking results and prevent target drift. Experimental results demonstrate favorable performance and real-time tracking speed against state-of-art trackers on popular benchmark datasets.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Nanoscience & Nanotechnology
Oshra Betzer, Yue Gao, Astar Shamul, Menachem Motiei, Tamar Sadan, Ronen Yehuda, Ayelet Atkins, Cyrille J. Cohen, Mingwu Shen, Xiangyang Shi, Rachela Popovtzer
Summary: This study developed a nanoprobe for dual-modal monitoring of genetically engineered T cells in solid tumors. The nanoprobe allowed real-time observation of T cell activation, distribution pattern, and quantity within the tumor using fluorescent imaging and computed tomography imaging. These findings provide important information for the advancement of T cell-based immunotherapy and live cell imaging technology.
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
Tobias Boettger, Carsten Steger
Summary: This study introduces an accurate, robust, and real-time shape model object tracker with failure mode detection and robustness to nonlinear illumination changes. Through experiments, the tracker performs well, with fast speed and low memory consumption.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2021)
Article
Computer Science, Information Systems
Zhongqin Wang, J. Andrew Zhang, Min Xu, Y. Jay Guo
Summary: In this work, a scheme named WiDFS is proposed, which achieves single-target real-time passive tracking using channel state information collected from commercial-off-the-shelf WiFi devices. The scheme accurately separates dynamic human components and estimates the Doppler frequency shift for tracking.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Software Engineering
Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
Summary: The paper introduces a deep videorealistic 3D human character model that learns highly realistic shape, motion, and dynamic appearance from multi-view imagery in a weakly supervised manner, without the need for complex physics simulation. By using novel techniques, the model can achieve motion-dependent surface deformations, physically plausible dynamic clothing deformations, and video-realistic surface textures at a much higher level of detail than previous approaches, even in real-time.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Cell Biology
Jeffrey Maslanka, Gretel Torres, Jennifer Londregan, Naomi Goldman, Daniel Silberman, John Somerville, James E. Riggs
Summary: This study investigates the immunobiology of the peritoneum in ovarian cancer, revealing reduced B1 cells in the ascites and selective loss of B1 and marginal zone B cell subsets in the spleen. These findings suggest a correlation between the depletion of B cell subsets and the influx of myeloid-derived suppressor cells during ovarian cancer.
CELLULAR IMMUNOLOGY
(2024)
