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A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
Microorganisms such as bacteria and fungi play essential roles in many application fields,
like biotechnique, medical technique and industrial domain. Microorganism counting …
like biotechnique, medical technique and industrial domain. Microorganism counting …
Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review
Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
Fast and robust segmentation of white blood cell images by self-supervised learning
X Zheng, Y Wang, G Wang, J Liu - Micron, 2018 - Elsevier
A fast and accurate white blood cell (WBC) segmentation remains a challenging task, as
different WBCs vary significantly in color and shape due to cell type differences, staining …
different WBCs vary significantly in color and shape due to cell type differences, staining …
An objective comparison of cell-tracking algorithms
We present a combined report on the results of three editions of the Cell Tracking
Challenge, an ongoing initiative aimed at promoting the development and objective …
Challenge, an ongoing initiative aimed at promoting the development and objective …
CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging
Fluorescence time-lapse imaging has become a powerful tool to investigate complex
dynamic processes such as cell division or intracellular trafficking. Automated microscopes …
dynamic processes such as cell division or intracellular trafficking. Automated microscopes …
Global linking of cell tracks using the Viterbi algorithm
Automated tracking of living cells in microscopy image sequences is an important and
challenging problem. With this application in mind, we propose a global track linking …
challenging problem. With this application in mind, we propose a global track linking …
Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and Kalman filter in time-lapse microscopy
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 …
understand drug effects on cancer cells. Time-lapse microscopy imaging serves as an …
Segmentation of clustered nuclei with shape markers and marking function
We present a method to separate clustered nuclei from fluorescence microscopy cellular
images, using shape markers and marking function in a watershed-like algorithm. Shape …
images, using shape markers and marking function in a watershed-like algorithm. Shape …
Advanced level-set-based cell tracking in time-lapse fluorescence microscopy
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 …
fundamental importance in many biological studies on cell migration and proliferation. In …
Bioimage informatics: a new area of engineering biology
H Peng - Bioinformatics, 2008 - academic.oup.com
In recent years, the deluge of complicated molecular and cellular microscopic images
creates compelling challenges for the image computing community. There has been an …
creates compelling challenges for the image computing community. There has been an …