Tracking in cell and developmental biology

E Meijering, O Dzyubachyk, I Smal… - Seminars in cell & …, 2009 - Elsevier
The past decade has seen an unprecedented data explosion in biology. It has become
evident that in order to take full advantage of the potential wealth of information hidden in the …

[PDF][PDF] Research review for digital image segmentation techniques

AA Aly, SB Deris, N Zaki - … Journal of Computer Science & Information …, 2011 - academia.edu
Evaluating the previous work is an important part of developing segmentation methods for
the image analysis techniques. The aim of this paper is to give a review of digital image …

An automatic learning-based framework for robust nucleus segmentation

F Xing, Y Xie, L Yang - IEEE transactions on medical imaging, 2015 - ieeexplore.ieee.org
Computer-aided image analysis of histopathology specimens could potentially provide
support for early detection and improved characterization of diseases such as brain tumor …

Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and Kalman filter in time-lapse microscopy

X Yang, H Li, X Zhou - … Transactions on Circuits and Systems I …, 2006 - ieeexplore.ieee.org
It is important to observe and study cancer cells' cycle progression in order to better
understand drug effects on cancer cells. Time-lapse microscopy imaging serves as an …

Advanced level-set-based cell tracking in time-lapse fluorescence microscopy

O Dzyubachyk, WA Van Cappellen… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Cell segmentation and tracking in time-lapse fluorescence microscopy images is a task of
fundamental importance in many biological studies on cell migration and proliferation. In …

Cell population tracking and lineage construction with spatiotemporal context

K Li, ED Miller, M Chen, T Kanade, LE Weiss… - Medical image …, 2008 - Elsevier
Automated visual-tracking of cell populations in vitro using time-lapse phase contrast
microscopy enables quantitative, systematic, and high-throughput measurements of cell …

ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets

J Ke, Y Lu, Y Shen, J Zhu, Y Zhou, J Huang, J Yao… - Medical Image …, 2023 - Elsevier
The detection and segmentation of individual cells or nuclei is often involved in image
analysis across a variety of biology and biomedical applications as an indispensable …

Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting

H Kong, M Gurcan… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
For quantitative analysis of histopathological images, such as the lymphoma grading
systems, quantification of features is usually carried out on single cells before categorizing …

Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces

A Dufour, V Shinin, S Tajbakhsh… - … on Image Processing, 2005 - ieeexplore.ieee.org
Cell migrations and deformations play essential roles in biological processes, such as
parasite invasion, immune response, embryonic development, and cancer. We describe a …

Expectation–maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer …

H Fatakdawala, J Xu, A Basavanhally… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
The presence of lymphocytic infiltration (LI) has been correlated with nodal metastasis and
tumor recurrence in HER2+ breast cancer (BC). The ability to automatically detect and …