A visual object tracking benchmark for cell motility in time-lapse imaging

2019-09-01
Demir, H. Seckin
Cetin, A. Enis
Atalay, Rengül
Automatic tracking of cells is a widely studied problem in various biomedical applications. Although there are numerous approaches for the video object tracking task in different contexts, the performance of these methods depends on many factors regarding the specific application they are used for. This paper presents a comparative study that specifically targets cell tracking problem and compares performance behavior of the recent algorithms. We propose a framework for the performance evaluation of the tracking algorithms and compare several state-of-the-art object tracking approaches on an extensive time-lapse inverted microscopy dataset. We report the quantitative evaluations of the algorithms based on success rate and precision performance metrics.
SIGNAL IMAGE AND VIDEO PROCESSING

Suggestions

Automatic cell counting from microchannel images
Ertürk, İzzet Fatih; Akar, Gözde; Külah, Haluk; Department of Electrical and Electronics Engineering (2022-2)
Cell counting is an important method used in many fields such as disease diagnosis in medicine. For example, the number of white blood cells in the blood gives information that there is a disease in the body. There are manual and automatic methods developed for cell counting. Although manual methods take a lot of time and are prone to error, they are preferred in many areas because they are less expensive than other methods. However, automated cell counting methods such as flow cytometry have been developed...
A Prostate Cancer Model Build by a Novel SVM-ID3 Hybrid Feature Selection Method Using Both Genotyping and Phenotype Data from dbGaP
Yucebas, Sait Can; Aydın Son, Yeşim (2014-03-20)
Through Genome Wide Association Studies (GWAS) many Single Nucleotide Polymorphism (SNP)-complex disease relations can be investigated. The output of GWAS can be high in amount and high dimensional, also relations between SNPs, phenotypes and diseases are most likely to be nonlinear. In order to handle high volume-high dimensional data and to be able to find the nonlinear relations we have utilized data mining approaches and a hybrid feature selection model of support vector machine and decision tree has be...
An Integrated imaging sensor for rare cell detection applications
Altıner, Çağlar; Akın, Tayfun; Eminoğlu, Selim; Department of Micro and Nanotechnology (2012)
Cell detection using image sensors is a novel and promising technique that can be used for diagnostic applications in medicine. For this purpose, cell detection studies with shadowing method are performed with yeast cells (Saccharomyces cerevisiae) using an 32×32 complementary metal oxide semiconductor (CMOS) image sensor that is sensitive to optical illumination. Cells that are placed zero distance from the sensor surface are detected using the image sensor which is illuminated with four fixed leds to main...
INVESTIGATION OF THE PERMEABILITY OF THE CELL MEMBRANE FOR DIFFERENT CRYOPROTECTANT AGENTS IN A CONTINUOUS THERMO-FLUIDIC MICRO-CHANNEL SYSTEM
Hatiboğlu, Anıl; Külah, Haluk; Önel, Selis; Department of Micro and Nanotechnology (2021-9-13)
Modeling cell membrane permeability in different solutions is a critical requirement in controlling the response of cells during preconcentration processes in biotechnological applications, such as drug delivery, fluorescence imaging, and cryopreservation . Current multi-step methods employed in loading cells with high concentrations of cryoprotectant agents (CPAs) prior to cryopreservation for long term storage affect cell viability as a result of extended exposure times associated with these methods. One ...
A Design for Real-time Neural Modeling on the GPU Incorporating Dendritic Computation
Garaas, Tyler W.; Marino, Frank; Duzcu, Halil; Pomplun, Marc (2009-07-05)
Recent advances in neuroscience have underscored the role of single neurons in information processing. Much of this work has focused on the role of neurons' dendrites to perform complex local computations that form the basis for the global computation of the neuron. Generally, artificial neural networks that are capable of real-time simulation do not take into account the principles underlying single-neuron processing. In this paper we propose a design for a neural model executed on the graphics processing ...
Citation Formats
H. S. Demir, A. E. Cetin, and R. Atalay, “A visual object tracking benchmark for cell motility in time-lapse imaging,” SIGNAL IMAGE AND VIDEO PROCESSING, pp. 1063–1070, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31192.