A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches

J Zhang, C Li, MM Rahaman, Y Yao, P Ma… - Artificial Intelligence …, 2022 - Springer
Microorganisms such as bacteria and fungi play essential roles in many application fields,
like biotechnique, medical technique and industrial domain. Microorganism counting …

Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review

F **ng, L Yang - IEEE reviews in biomedical engineering, 2016 - ieeexplore.ieee.org
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 …

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 …

An objective comparison of cell-tracking algorithms

V Ulman, M Maška, KEG Magnusson, O Ronneberger… - Nature …, 2017 - nature.com
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 …

CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging

M Held, MHA Schmitz, B Fischer, T Walter… - Nature …, 2010 - nature.com
Fluorescence time-lapse imaging has become a powerful tool to investigate complex
dynamic processes such as cell division or intracellular trafficking. Automated microscopes …

Global linking of cell tracks using the Viterbi algorithm

KEG Magnusson, J Jaldén, PM Gilbert… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
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 …

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 …

Segmentation of clustered nuclei with shape markers and marking function

J Cheng, JC Rajapakse - IEEE transactions on Biomedical …, 2008 - ieeexplore.ieee.org
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 …

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 …

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 …