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Computer Optimized Microscopy

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Cover of 'Computer Optimized Microscopy'

Table of Contents

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    Book Overview
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    Chapter 1 Main Steps in Image Processing and Quantification: The Analysis Workflow
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    Chapter 2 Open Source Tools for Biological Image Analysis
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    Chapter 3 Proximity Ligation Assay Image Analysis Protocol: Addressing Receptor-Receptor Interactions
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    Chapter 4 Introduction to ImageJ Macro Language in a Particle Counting Analysis: Automation Matters
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    Chapter 5 Automated Macro Approach to Quantify Synapse Density in 2D Confocal Images from Fixed Immunolabeled Neural Tissue Sections
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    Chapter 6 Automated Quantitative Analysis of Mitochondrial Morphology
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    Chapter 7 Structure and Fluorescence Intensity Measurements in Biofilms
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    Chapter 8 3D + Time Imaging and Image Reconstruction of Pectoral Fin During Zebrafish Embryogenesis
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    Chapter 9 Automated Macro Approach to Remove Vitelline Membrane Autofluorescence in Drosophila Embryo 4D Movies
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    Chapter 10 Which Elements to Build Co-localization Workflows? From Metrology to Analysis
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    Chapter 11 Triple-Colocalization Approach to Assess Traffic Patterns and Their Modulation
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    Chapter 12 Photobleaching and Sensitized Emission-Based Methods for the Detection of Förster Resonance Energy Transfer
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    Chapter 13 In Vivo Quantification of Intramolecular FRET Using RacFRET Biosensors
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    Chapter 14 Cell Proliferation High-Content Screening on Adherent Cell Cultures
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    Chapter 15 HCS Methodology for Helping in Lab Scale Image-Based Assays
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    Chapter 16 Filopodia Quantification Using FiloQuant
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    Chapter 17 Coincidence Analysis of Molecular Dynamics by Raster Image Correlation Spectroscopy
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    Chapter 18 3D Tracking of Migrating Cells from Live Microscopy Time-Lapses
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    Chapter 19 A Cell Segmentation/Tracking Tool Based on Machine Learning
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    Chapter 20 2D + Time Object Tracking Using Fiji and ilastik
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    Chapter 21 Machine Learning: Advanced Image Segmentation Using ilastik
Attention for Chapter 19: A Cell Segmentation/Tracking Tool Based on Machine Learning
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Chapter title
A Cell Segmentation/Tracking Tool Based on Machine Learning
Chapter number 19
Book title
Computer Optimized Microscopy
Published by
Humana, New York, NY, August 2019
DOI 10.1007/978-1-4939-9686-5_19
Pubmed ID
Book ISBNs
978-1-4939-9685-8, 978-1-4939-9686-5
Authors

Heather S. Deter, Marta Dies, Courtney C. Cameron, Nicholas C. Butzin, Javier Buceta, Deter, Heather S., Dies, Marta, Cameron, Courtney C., Butzin, Nicholas C., Buceta, Javier

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 25%
Researcher 4 14%
Student > Master 4 14%
Professor 2 7%
Other 2 7%
Other 2 7%
Unknown 7 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 14%
Engineering 4 14%
Agricultural and Biological Sciences 3 11%
Medicine and Dentistry 2 7%
Physics and Astronomy 2 7%
Other 3 11%
Unknown 10 36%