scholarly journals A Method for Actin Filament Tracking in Fluorescent Microscopy Images

2020 ◽  
pp. paper37-1-paper37-10
Author(s):  
Danil Kononykhin ◽  
Valentina Berg ◽  
Andrey Krylov ◽  
Dmitry Sorokin
Keyword(s):  
Nearest Neighbor ◽  
Fluorescent Microscopy ◽  
Image Sequences ◽  
Biological Research ◽  
Tracking Accuracy ◽  
Actual Problem ◽  
Quality Metric ◽  
Ridge Detection ◽  
Research Areas ◽  
Microscopy Image

The automated tracking of subcellular structures in live microscopy image sequences is an actual problem in many biological research areas. A universal solution for this problem still does not exist due to a huge variety of data of different nature. In this work, we propose an algorithm for tracking actin filaments in 2D fluorescent image sequences. The filaments are moving in a random and abrupt manner frequently crossing each other. We used steerable filters based ridge detection followed by crossing filaments correction algorithm for filaments detection. The tracking was performed using a greedy nearest neighbor method. The quantitative evaluation of our approach was performed on several manually annotated image sequences using the object tracking quality metric MOTA. It was shown that the proposed approach outperforms an existing approach in tracking accuracy. In addition, the proposed approach allows processing crossed filaments, unlike the existing methods.

Unequivocal Cardiac Phase Sorting From Alternating Ramp-And Pulse-Illuminated Microscopy Image Sequences

2021 ◽  
Author(s):  
Olivia Mariani ◽  
Francois Marelli ◽  
Christian Jaques ◽  
Alexander Ernst ◽  
Michael Liebling
Keyword(s):  
Image Sequences ◽  
Cardiac Phase ◽  
Microscopy Image

scholarly journals High Precision Optical Tracking System Based on near Infrared Trinocular Stereo Vision

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2528
Author(s):  
Songlin Bi ◽  
Yonggang Gu ◽  
Jiaqi Zou ◽  
Lianpo Wang ◽  
Chao Zhai ◽  
...  
Keyword(s):  
High Precision ◽  
Stereo Vision ◽  
Near Infrared ◽  
Nearest Neighbor ◽  
Tracking System ◽  
Optical Tracking ◽  
Tracking Accuracy ◽  
Optical Tracking System ◽  
Dynamic Tracking ◽  
Trinocular Stereo

A high precision optical tracking system (OTS) based on near infrared (NIR) trinocular stereo vision (TSV) is presented in this paper. Compared with the traditional OTS on the basis of binocular stereo vision (BSV), hardware and software are improved. In the hardware aspect, a NIR TSV platform is built, and a new active tool is designed. Imaging markers of the tool are uniform and complete with large measurement angle (>60°). In the software aspect, the deployment of extra camera brings high computational complexity. To reduce the computational burden, a fast nearest neighbor feature point extraction algorithm (FNNF) is proposed. The proposed method increases the speed of feature points extraction by hundreds of times over the traditional pixel-by-pixel searching method. The modified NIR multi-camera calibration method and 3D reconstruction algorithm further improve the tracking accuracy. Experimental results show that the calibration accuracy of the NIR camera can reach 0.02%, positioning accuracy of markers can reach 0.0240 mm, and dynamic tracking accuracy can reach 0.0938 mm. OTS can be adopted in high-precision dynamic tracking.

Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences

2021 ◽  
Author(s):  
Lucía Arboleya ◽  
Leonardo Santos ◽  
Mariano Fernández ◽  
Lucía Rosa-Villagrán ◽  
Rossana Sapiro ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Trajectory Analysis ◽  
Image Sequences ◽  
Microscopy Image

The chick embryo chorioallantoic membrane model: a research approach for ex vivo and in vivo experiments

2021 ◽  
Vol 28 ◽  
Author(s):  
Ana Isabel Fraguas-Sánchez ◽  
Cristina Martín-Sabroso ◽  
Ana Isabel Torres-Suárez
Keyword(s):  
Animal Models ◽  
Chorioallantoic Membrane ◽  
New Drugs ◽  
Biological Research ◽  
Research Areas ◽  
Chick Chorioallantoic Membrane ◽  
Biodistribution Studies ◽  
Toxicological Studies ◽  
Cam Model

Background: The chick chorioallantoic membrane (CAM) model has attracted a great deal of interest in pharmaceutical and biological research as an alternative or complementary in vivo assay to animal models. Traditionally, CAM assay has been widely used to perform some toxicological studies, specifically to evaluate the skin, ocular and embryo toxicity of new drugs and formulations, and perform angiogenesis studies. Due to the possibility to generate the tumors onto the CAM, this model has also become an excellent strategy to evaluate the metastatic potential of different tumours and test the efficacy of novel anticancer therapies in vivo. Moreover, in the recent years, its use has considerably grown in other research areas, including the evaluation of new anti-infective agents, the development of biodistribution studies and tissue engineering research. Objectives: This manuscript provides a critical overview of the use of CAM model in pharmaceutical and biological research, especially to test the toxicity of new drugs and formulations and the biodistribution and the efficacy of novel anticancer and anti-infective therapies, analyzing its advantages and disadvantages compared to animal models. Conclusion: The chick chorioallantoic membrane model shows great utility in several research areas, such as cancer, toxicology, biodistribution studies and anti-infective therapies. In fact, it has become an intermediate stage between in vitro experiments and animal studies, and, in the case of toxicological studies (skin and ocular toxicity), has even replaced the animal models.

scholarly journals Coelenterazine-Dependent Luciferases as a Powerful Analytical Tool for Research and Biomedical Applications

2020 ◽  
Vol 21 (20) ◽  
pp. 7465 ◽  
Author(s):  
Vasilisa V. Krasitskaya ◽  
Eugenia E. Bashmakova ◽  
Ludmila A. Frank
Keyword(s):  
Analytical Methods ◽  
Analytical Tool ◽  
Biological Research ◽  
Research Areas ◽  
Enzyme Substrate ◽  
Highly Sensitive ◽  
Powerful Analytical Tool ◽  
Fundamental Research ◽  
Common Group ◽  
First Time

The functioning of bioluminescent systems in most of the known marine organisms is based on the oxidation reaction of the same substrate—coelenterazine (CTZ), catalyzed by luciferase. Despite the diversity in structures and the functioning mechanisms, these enzymes can be united into a common group called CTZ-dependent luciferases. Among these, there are two sharply different types of the system organization—Ca2+-regulated photoproteins and luciferases themselves that function in accordance with the classical enzyme–substrate kinetics. Along with deep and comprehensive fundamental research on these systems, approaches and methods of their practical use as highly sensitive reporters in analytics have been developed. The research aiming at the creation of artificial luciferases and synthetic CTZ analogues with new unique properties has led to the development of new experimental analytical methods based on them. The commercial availability of many ready-to-use assay systems based on CTZ-dependent luciferases is also important when choosing them by first-time-users. The development of analytical methods based on these bioluminescent systems is currently booming. The bioluminescent systems under consideration were successfully applied in various biological research areas, which confirms them to be a powerful analytical tool. In this review, we consider the main directions, results, and achievements in research involving these luciferases.

scholarly journals A New Multiple Hypothesis Tracker Integrated with Detection Processing

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5278 ◽  
Author(s):  
Wang ◽  
Sun ◽  
Li ◽  
Ding
Keyword(s):  
Nearest Neighbor ◽  
Detection Threshold ◽  
Radar Signal ◽  
False Alarms ◽  
Detection Accuracy ◽  
Ratio Test ◽  
Tracking Accuracy ◽  
Nearest Neighbor Algorithm ◽  
Multiple Hypothesis ◽  
Detection Processing

In extant radar signal processing systems, detection and tracking are carried out independently, and detected measurements are utilized as inputs to the tracking procedure. Therefore, the tracking performance is highly associated with detection accuracy, and this performance may severely degrade when detections include a mass of false alarms and missed-targets errors, especially in dense clutter or closely-spaced trajectories scenarios. To deal with this issue, this paper proposes a novel method for integrating the multiple hypothesis tracker with detection processing. Specifically, the detector acquires an adaptive detection threshold from the output of the multiple hypothesis tracker algorithm, and then the obtained detection threshold is employed to compute the score function and sequential probability ratio test threshold for the data association and track estimation tasks. A comparative analysis of three tracking algorithms in a clutter dense scenario, including the proposed method, the multiple hypothesis tracker, and the global nearest neighbor algorithm, is conducted. Simulation results demonstrate that the proposed multiple hypothesis tracker integrated with detection processing method outperforms both the standard multiple hypothesis tracker algorithm and the global nearest neighbor algorithm in terms of tracking accuracy.

Identifying Virus-Cell Fusion in Two-Channel Fluorescence Microscopy Image Sequences Based on a Layered Probabilistic Approach

2012 ◽  
Vol 31 (9) ◽  
pp. 1786-1808 ◽  
Author(s):  
William J. Godinez ◽  
Marko Lampe ◽  
Peter Koch ◽  
Roland Eils ◽  
Barbara Muller ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Cell Fusion ◽  
Probabilistic Approach ◽  
Image Sequences ◽  
Microscopy Image
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