Computational framework for simulating fluorescence microscope images with cell populations
A Lehmussola, P Ruusuvuori… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
Fluorescence microscopy combined with digital imaging constructs a basic platform for
numerous biomedical studies in the field of cellular imaging. As the studies relying on …
numerous biomedical studies in the field of cellular imaging. As the studies relying on …
Generation of digital phantoms of cell nuclei and simulation of image formation in 3D image cytometry
Image cytometry still faces the problem of the quality of cell image analysis results.
Degradations caused by cell preparation, optics, and electronics considerably affect most …
Degradations caused by cell preparation, optics, and electronics considerably affect most …
MitoGen: a framework for generating 3D synthetic time-lapse sequences of cell populations in fluorescence microscopy
The proper analysis of biological microscopy images is an important and complex task.
Therefore, it requires verification of all steps involved in the process, including image …
Therefore, it requires verification of all steps involved in the process, including image …
BlobFinder, a tool for fluorescence microscopy image cytometry
Images can be acquired at high rates with modern fluorescence microscopy hardware,
giving rise to a demand for high-speed analysis of image data. Digital image cytometry, ie …
giving rise to a demand for high-speed analysis of image data. Digital image cytometry, ie …
ggCyto: next generation open-source visualization software for cytometry
Motivation Open source software for computational cytometry has gained in popularity over
the past few years. Efforts such as FlowCAP, the Lyoplate and Euroflow projects have …
the past few years. Efforts such as FlowCAP, the Lyoplate and Euroflow projects have …
Introduction to the quantitative analysis of two-dimensional fluorescence microscopy images for cell-based screening
V Ljosa, AE Carpenter - PLoS computational biology, 2009 - journals.plos.org
Modern automated microscopes collect digital images at an astonishing pace. Automated
image analysis can measure biological phenotypes quantitatively and reliably, and has …
image analysis can measure biological phenotypes quantitatively and reliably, and has …
An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy
F Buggenthin, C Marr, M Schwarzfischer, PS Hoppe… - BMC …, 2013 - Springer
Background In recent years, high-throughput microscopy has emerged as a powerful tool to
analyze cellular dynamics in an unprecedentedly high resolved manner. The amount of data …
analyze cellular dynamics in an unprecedentedly high resolved manner. The amount of data …
An open-source solution for advanced imaging flow cytometry data analysis using machine learning
Imaging flow cytometry (IFC) enables the high throughput collection of morphological and
spatial information from hundreds of thousands of single cells. This high content, information …
spatial information from hundreds of thousands of single cells. This high content, information …
Image segmentation and dynamic lineage analysis in single‐cell fluorescence microscopy
An increasingly common component of studies in synthetic and systems biology is analysis
of dynamics of gene expression at the single‐cell level, a context that is heavily dependent …
of dynamics of gene expression at the single‐cell level, a context that is heavily dependent …
Analysis of live cell images: Methods, tools and opportunities
Advances in optical microscopy, biosensors and cell culturing technologies have
transformed live cell imaging. Thanks to these advances live cell imaging plays an …
transformed live cell imaging. Thanks to these advances live cell imaging plays an …