Difference between revisions of "Image Processing School Pilsen 2009"

(Registration)
(changed measurements to quantitative imaging, which is more descriptive)
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|Session 1: 9:30 - 11:00
 
|Session 1: 9:30 - 11:00
 
|[[#Welcome and Introduction|Welcome]] and [[#Overview of installing and using Fiji|Installing Fiji]]
 
|[[#Welcome and Introduction|Welcome]] and [[#Overview of installing and using Fiji|Installing Fiji]]
|[[#Measurements|Measurements]]
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|[[#Quantitative Imaging|Quantitative Imaging]]
 
|[[#Segmentation|Segmentation]]
 
|[[#Segmentation|Segmentation]]
 
|[[#Registration|Registration]]
 
|[[#Registration|Registration]]
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== Thursday ==
 
== Thursday ==
  
=== Measurements ===
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=== Quantitative Imaging ===
  
Image analysis: measurements
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Quantitative image acquisition and analysis: Spectroscopy not photography, simple measurements.
  
 
Lead instructor: [[Dan White]]
 
Lead instructor: [[Dan White]]
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=== Colocalization ===
 
=== Colocalization ===
  
Image analysis: Colocalization
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Quantitative Image analysis: What you need to know about Colocalization Analysis
  
 
Lead instructor: [[Dan White]]
 
Lead instructor: [[Dan White]]

Revision as of 05:03, 8 September 2009

See also the Image Processing School announcement webpage.

Schedule (tentative):

Time Wednesday, September 9th Thursday, September 10th Friday, September 11th Saturday, September 12th
Session 1: 9:30 - 11:00 Welcome and Installing Fiji Quantitative Imaging Segmentation Registration
Session 2: 11:30 - 12:30 Image Processing Fundamentals Colocalization Beyond 3D
Session 3: 14:00 - 15:30 Fiji scripting: Python TrakEM2 Fiji scripting: advanced Python
Session 4: 16:00 - 17:30 Show your images! Work session Work session

Wednesday

Welcome and Introduction

Albert Cardona

Overview of installing and using Fiji

Setup: installing Fiji and getting familiar with it; overview of major features.

Lead instructor: Johannes Schindelin

Image Processing fundamentals

Fundamentals of image processing: anatomy of a digital image, image formats. Includes notes on image acquisition (effects of dynamic range and exposure times)

Lead instructor: Albert Cardona

Fiji scripting: Python

Introduction to Fiji scripting in Python

Lead instructor: Johannes Schindelin

Thursday

Quantitative Imaging

Quantitative image acquisition and analysis: Spectroscopy not photography, simple measurements.

Lead instructor: Dan White

Colocalization

Quantitative Image analysis: What you need to know about Colocalization Analysis

Lead instructor: Dan White

TrakEM2

TrakEM2: image registration and manual segmentation.

Lead instructor: Albert Cardona

Friday

Segmentation

Introduction to image segmentation.

  • Pixel-based and vector-based.
  • Manual and semi-automatic.

Plugins: Simple Neurite Tracer, Segmentation Editor, VIB protocol, TrakEM2, Level Sets.

Lead instructor: Verena Kaynig

Beyond 3D

Intensity vs time analysis

Lead instructor: Jean-Yves Tinevez

Fiji scripting: advanced Python

Advanced Fiji scripting in Python

Lead instructors: Jean-Yves Tinevez

Writing Fiji plugins in Java

Introduction to Fiji programming in Java (this will be an add-on to the advanced scripting).

Lead instructor: Johannes Schindelin

Saturday

Registration

Image registration: rigid, affine, elastic, maximal warping... (Register_Virtual_Stack_Slices, TrakEM2, BUnwarpJ)

Lead instructor: Ignacio Arganda-Carreras

Work sessions

At the end of every day, there is time to apply what you learnt and go beyond that. You can process your own images and discuss results and methods with the instructors.