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Proceedings ArticleDOI

Semi-automated tracking of muscle satellite cells in brightfield microscopy video

TLDR
A semi-automated approach for satellite cell tracking on myofibers consisting of registration with illumination correction, background subtraction and particle filtering is proposed and initial experimental results show the effectiveness of the approach.
Abstract
Muscle satellite cells, also known as myogenic precursor cells, are the dedicated stem cells responsible for postnatal skeletal muscle growth, repair, and hypertrophy. Biological studies aimed at describing satellite cell activity on their host myofiber using timelapse light microscopy enable qualitative study, but high-throughput automatic tracking of satellite cells translocating on myofibers is very difficult due to their complex motion across the three-dimensional surface of myofibers and the lack of discriminating cell features. Other complicating factors include inhomogeneous illumination, fixed focal plane, low contrast, and stage motion. We propose a semi-automated approach for satellite cell tracking on myofibers consisting of registration with illumination correction, background subtraction and particle filtering. Initial experimental results show the effectiveness of the approach.

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Citations
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Journal ArticleDOI

Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images

TL;DR: A fast and accurate approach for automatic mitosis detection from histopathological images is proposed by restricting the scales with the maximization of relative-entropy between the cells and the background to result in precise cell segmentation.
Proceedings ArticleDOI

Enhanced Random Forest for Mitosis Detection

TL;DR: This work proposes a fast and accurate approach for automatic mitosis detection from histopathological images using an enhanced random forest classifier with weighted random trees.
Book ChapterDOI

Methods for Observing and Quantifying Muscle Satellite Cell Motility and Invasion In Vitro.

TL;DR: Three protocols developed in the group for quantitatively analyzing satellite cell motility over time are described, which allow identification and longitudinal evaluation of individual cells over time and quantification of variations in motility due to intrinsic or extrinsic factors.

Computer Vision Based Tracking Of Biological Cells-A

TL;DR: This article surveys the recent literature in the area of computer vision based automated cell tracking and discusses the latest trends and successes in the development and introduction of automated celltracking techniques and systems.
References
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Journal ArticleDOI

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

TL;DR: Both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters are reviewed.
Journal ArticleDOI

Image registration methods: a survey

TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
Journal ArticleDOI

Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models

TL;DR: A new algorithm based on a Monte Carlo method that can be applied to a broad class of nonlinear non-Gaussian higher dimensional state space models on the provision that the dimensions of the system noise and the observation noise are relatively low.
Book

Bayesian Forecasting and Dynamic Models

TL;DR: In this article, the authors propose a model called the Dynamic Regression Model (DRM) which is an extension of the First-Order Polynomial Model (FOPM) and the Dynamic Linear Model (DLM).
Journal ArticleDOI

Myogenic satellite cells: physiology to molecular biology.

TL;DR: This review will highlight the origin and unique markers of the satellite cell population, the regulation by growth factors, and the response to physiological and pathological stimuli, and identify future research goals for the study of satellite cell biology.