Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh
Authors
Keywords
-
Journal
Nature Protocols
Volume 9, Issue 3, Pages 586-596
Publisher
Springer Nature America, Inc
Online
2014-02-14
DOI
10.1038/nprot.2014.037
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modeling and simulation of biological systems from image data
- (2013) Ivo F. Sbalzarini BIOESSAYS
- MosaicIA: an ImageJ/Fiji plugin for spatial pattern and interaction analysis
- (2013) Arun Shivanandan et al. BMC BIOINFORMATICS
- Coupling Image Restoration and Segmentation: A Generalized Linear Model/Bregman Perspective
- (2013) Grégory Paul et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Discrete Region Competition for Unknown Numbers of Connected Regions
- (2012) J. Cardinale et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Biological imaging software tools
- (2012) Kevin W Eliceiri et al. NATURE METHODS
- Fiji: an open-source platform for biological-image analysis
- (2012) Johannes Schindelin et al. NATURE METHODS
- NIH Image to ImageJ: 25 years of image analysis
- (2012) Caroline A Schneider et al. NATURE METHODS
- Neuropilin-1 promotes VEGFR-2 trafficking through Rab11 vesicles thereby specifying signal output
- (2011) K. Ballmer-Hofer et al. BLOOD
- Computer Vision in Cell Biology
- (2011) Gaudenz Danuser CELL
- Quantifying spatial correlations of fluorescent markers using enhanced background reduction with protein proximity index and correlation coefficient estimations
- (2011) Vadim Zinchuk et al. Nature Protocols
- Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images
- (2010) Pekka Ruusuvuori et al. BMC BIOINFORMATICS
- Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images
- (2010) Jo A Helmuth et al. BMC BIOINFORMATICS
- Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficient
- (2010) Jeremy Adler et al. CYTOMETRY PART A
- Metadata matters: access to image data in the real world
- (2010) Melissa Linkert et al. JOURNAL OF CELL BIOLOGY
- Confined displacement algorithm determines true and random colocalization in fluorescence microscopy
- (2010) O. RAMÍREZ et al. JOURNAL OF MICROSCOPY
- A plasmid-based multigene expression system for mammalian cells
- (2010) Andrijana Kriz et al. Nature Communications
- Shape reconstruction of subcellular structures from live cell fluorescence microscopy images
- (2009) J.A. Helmuth et al. JOURNAL OF STRUCTURAL BIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started