Automated image analysis for high-content screening and analysis
The field of high-content screening and analysis consists of a set of methodologies for
automated discovery in cell biology and drug development using large amounts of image …
automated discovery in cell biology and drug development using large amounts of image …
Survey statistics of automated segmentations applied to optical imaging of mammalian cells
Background The goal of this survey paper is to overview cellular measurements using
optical microscopy imaging followed by automated image segmentation. The cellular …
optical microscopy imaging followed by automated image segmentation. The cellular …
Comparison of segmentation algorithms for fluorescence microscopy images of cells
The analysis of fluorescence microscopy of cells often requires the determination of cell
edges. This is typically done using segmentation techniques that separate the cell objects in …
edges. This is typically done using segmentation techniques that separate the cell objects in …
Three dimensional fluorescence microscopy image synthesis and segmentation
Advances in fluorescence microscopy enable acquisition of 3D image volumes with better
image quality and deeper penetration into tissue. Segmentation is a required step to …
image quality and deeper penetration into tissue. Segmentation is a required step to …
A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching
C Chen, W Wang, JA Ozolek, GK Rohde - Cytometry Part A, 2013 - Wiley Online Library
We describe a new supervised learning‐based template matching approach for segmenting
cell nuclei from microscopy images. The method uses examples selected by a user for …
cell nuclei from microscopy images. The method uses examples selected by a user for …
[PDF][PDF] Active contours and image segmentation: The current state of the art
D Baswaraj, A Govardhan… - Global Journal of Computer …, 2012 - academia.edu
Image segmentation is a fundamental task in image analysis responsible for partitioning an
image into multiple sub-regions based on a desired feature. Active contours have been …
image into multiple sub-regions based on a desired feature. Active contours have been …
Accurate segmentation of intracellular organelle networks using low-level features and topological self-similarity
Abstract Motivation Intracellular organelle networks (IONs) such as the endoplasmic
reticulum (ER) network and the mitochondrial (MITO) network serve crucial physiological …
reticulum (ER) network and the mitochondrial (MITO) network serve crucial physiological …
Images as occlusions of textures: A framework for segmentation
We propose a new mathematical and algorithmic framework for unsupervised image
segmentation, which is a critical step in a wide variety of image processing applications. We …
segmentation, which is a critical step in a wide variety of image processing applications. We …
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained
microscope images with a shape prior. This problem is encountered ubiquitously in cell …
microscope images with a shape prior. This problem is encountered ubiquitously in cell …
Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks
Recent advance in fluorescence microscopy enables acquisition of 3D image volumes with
better quality and deeper penetration into tissue. In this paper, we describe a 3D method …
better quality and deeper penetration into tissue. In this paper, we describe a 3D method …