title: An Automatic Segmentation Method Combining an Active Contour Model and a Classification Technique for Detecting Polycomb-group Proteinsin High-Throughput Microscopy Images.
abstract: The large amount of data generated in biological experiments that rely on advanced microscopy can be handled only with automated image analysis. Most analyses require a reliable cell image segmentation eventually capable of detecting subcellular structures.We present an automatic segmentation method to detect Polycomb group (PcG) proteins areas isolated from nuclei regions in high-resolution fluorescent cell image stacks. It combines two segmentation algorithms that use an active contour model and a classification technique serving as a tool to better understand the subcellular three-dimensional distribution of PcG proteins in live cell image sequences. We obtained accurate results throughout several cell image datasets, coming from different cell types and corresponding to different fluorescent labels, without requiring elaborate adjustments to each dataset.
authors.affiliation: Institute for High Performance Computing and Networking, ICAR-CNR, via Pietro Castellino 111, Naples, 80131, Italy.
authors.forename: Francesco
authors.initials: F
authors.lastname: Gregoretti
authors.affiliation: Institute of Cellular Biology and Neurobiology, IRCCS Santa Lucia Foundation, via del Fosso di Fiorano 64, Rome, 00143, Italy.
authors.forename: Elisa
authors.initials: E
authors.lastname: Cesarini
authors.affiliation: Institute of Cellular Biology and Neurobiology, IRCCS Santa Lucia Foundation, via del Fosso di Fiorano 64, Rome, 00143, Italy.|Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi", via Francesco Sforza 35, Milan, 20122, Italy.
authors.forename: Chiara
authors.initials: C
authors.lastname: Lanzuolo
authors.affiliation: Institute for High Performance Computing and Networking, ICAR-CNR, via Pietro Castellino 111, Naples, 80131, Italy.
authors.forename: Gennaro
authors.initials: G
authors.lastname: Oliva
authors.affiliation: Institute for High Performance Computing and Networking, ICAR-CNR, via Pietro Castellino 111, Naples, 80131, Italy. laura.antonelli@cnr.it.
authors.forename: Laura
authors.initials: L
authors.lastname: Antonelli
mesh_terms: D002467:Cell Nucleus / Q000235:genetics; D057166:High-Throughput Screening Assays / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D063146:Polycomb-Group Proteins / Q000235:genetics / Q000302:isolation & purification*
chemical_list: D063146:Polycomb-Group Proteins
keywords: Cell segmentation; Fluorescence microscopy; High-throughput imaging; Polycomb group of proteins; Thresholding techniques; Variational models