A Cell Segmentation/Tracking Tool Based on Machine Learning.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-9686-5_19
Abstract: The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and introduce a method to identify… read more here.
Keywords: machine learning; based machine; segmentation; cell segmentation ... See more keywords
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102048
Abstract: Recently, single-stage embedding based deep learning algorithms gain increasing attention in cell segmentation and tracking. Compared with the traditional "segment-then-associate" two-stage approach, a single-stage algorithm not only simultaneously achieves consistent instance cell segmentation and tracking… read more here.
Keywords: shift; mean shift; faster mean; segmentation tracking ... See more keywords
Segmentation and Tracking of Mammary Epithelial Organoids in Brightfield Microscopy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3210714
Abstract: We present an automated and deep-learning-based workflow to quantitatively analyze the spatiotemporal development of mammary epithelial organoids in two-dimensional time-lapse (2D+t) sequences acquired using a brightfield microscope at high resolution. It involves a convolutional neural… read more here.
Keywords: epithelial organoids; segmentation tracking; microscopy; tracking mammary ... See more keywords
A fully-automated, robust, and versatile algorithm for long-term budding yeast segmentation and tracking
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0206395
Abstract: Live cell time-lapse microscopy, a widely-used technique to study gene expression and protein dynamics in single cells, relies on segmentation and tracking of individual cells for data generation. The potential of the data that can… read more here.
Keywords: budding yeast; algorithm; microscopy; segmentation ... See more keywords
Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0243219
Abstract: The accurate segmentation and tracking of cells in microscopy image sequences is an important task in biomedical research, e.g., for studying the development of tissues, organs or entire organisms. However, the segmentation of touching cells… read more here.
Keywords: graph based; microscopy; distance; segmentation ... See more keywords