Difference between revisions of "NA-MIC NCBC Collaboration:3D+t Cells Lineage:GoFigure"

From NAMIC Wiki
Jump to: navigation, search
 
(15 intermediate revisions by 2 users not shown)
Line 1: Line 1:
 
{|
 
{|
|[[Image:ProjectWeek-2007.png|thumb|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]]
+
|[[Image:ProjectWeek-2007.png|thumb|220px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]]
|[[Image:genuFAp.jpg|thumb|320px|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.]]
+
|[[Image:GoFigure-Zebrafish-Ear-Image.jpg|thumb|320px|Sample image from confocal Imaging dataset. It represents the ear area of a zebrafish embryo.]]
|[[Image:genuFA.jpg|thumb|320px|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.]]
+
|[[Image:GoFigure-Software.JPG|thumb|320px|Screenshot of the actual GoFigure software. Vizualization of an entire z-stack and segmentation results.]]
 
|}
 
|}
  
Line 10: Line 10:
 
* Alex. Gouaillard (Caltech)
 
* Alex. Gouaillard (Caltech)
 
* Titus Brown (Caltech)
 
* Titus Brown (Caltech)
 +
* Yumin Yuan (Kitware)
 +
* Luis Ibanez (Kitware)
 +
<div style="width: 27%; float: left; padding-right: 3%;">
  
<div style="width: 27%; float: left; padding-right: 3%;">
 
 
<h1>Objective</h1>
 
<h1>Objective</h1>
 
# Distributed Image database
 
# Distributed Image database
# Very large datasets (200+ Go)
+
# Very large datasets (200+ Gb)
 
# Segmentation of cells in 2D+t, 3D and 3D+t datasets
 
# Segmentation of cells in 2D+t, 3D and 3D+t datasets
 
# New Data structure for 2-Manifolds (itkQE)
 
# New Data structure for 2-Manifolds (itkQE)
# Cross-plateform GUI
+
# Cross-platform GUI
 +
# investigate Collaboration with NAMIC
 
# hire graduate students for the project.
 
# hire graduate students for the project.
 
</div>
 
</div>
  
<div style="width: 27%; float: left; padding-right: 3%;">
+
<div style="width: 30%; float: left; padding-right: 3%;">
 +
 
 
<h1>Approach, Plan</h1>
 
<h1>Approach, Plan</h1>
 
# recode / wrap segmentation algos in VTK / ITK
 
# recode / wrap segmentation algos in VTK / ITK
# plug in other VTK / ITK segmentation filters for test
+
# test different segmentations algorithms.
# try to parallelise dataset access through DB
+
# plug in other VTK / ITK segmentation filters.
# investgate KWWidgets for GUI
+
# try to parallelise dataset access through DB.
 +
# investgate KWWidgets for GUI.
 +
# finish porting QE in ITK.
 
</div>
 
</div>
  
<div style="width: 40%; float: left;">
+
<div style="width: 30%; float: left;">
 +
 
 
<h1>Progress</h1>
 
<h1>Progress</h1>
 +
# IN PROGRESS
 +
# DONE
 +
# IN PROGRESS
 +
# .
 +
# DONE
 +
# DONE
 +
 +
others
 +
 +
# No candidate (sic)
 +
# [http://www.itk.org/Wiki/Proposals:New_Mesh_Class#4.1:_Code_Coverage Code Coverage] / Memory Checking + dashboard
 
</div>
 
</div>
  
 
<br style="clear: both;" />
 
<br style="clear: both;" />
 
 
===References===
 
  
 
== Scientific Background==
 
== Scientific Background==
Line 75: Line 90:
 
== Open Source and Open Software ==
 
== Open Source and Open Software ==
  
The Beta version of GoFigure is still only distributed on-demand, the project embrace the OpenSource and OpenData philosophy. We want the software and the data not only to be at the disposition of the researchers but we also want the researchers to be able to make they own modifications and enhancements to it.  
+
The Beta version of GoFigure is still only distributed on-demand, the project embrace the OpenSource and OpenData philosophy. We want the software and the data not only to be at the disposition of the researchers but we also want the researchers to be able to make their own modifications and enhancements to it.  
 
the transition phase from the Alpha version (prototype) to a full open source software is under work.  
 
the transition phase from the Alpha version (prototype) to a full open source software is under work.  
 
The actual Alpha version is base on MFC and VTK for the vizualization.
 
The actual Alpha version is base on MFC and VTK for the vizualization.
 
The Beta version will be based on the following NA-MIC kits:
 
The Beta version will be based on the following NA-MIC kits:
* VTK  
+
VTK, ITK, CMake, CTest, CPack
* ITK
 
* CMake
 
* CTest
 
* CPack
 
 
and on the following OpenSource software and technologies:
 
and on the following OpenSource software and technologies:
* svn
+
svn, track, wiki, mailing list, ...
* track
 
* wiki, mailing list, ...
 
 
We have postdoctoral positions in the Department of Systems Biology at Harvard and the Departments of Biology and Applied Math at Caltech to fill related to GoFigure development.
 
We have postdoctoral positions in the Department of Systems Biology at Harvard and the Departments of Biology and Applied Math at Caltech to fill related to GoFigure development.
 
  
 
=== Prototype Code in the NAMIC Sandbox ===
 
=== Prototype Code in the NAMIC Sandbox ===
Line 106: Line 114:
  
 
==Links:==
 
==Links:==
 +
# [[MegasonLab | The megason Lab at Harvard: NAMIC collaborations]]
 
# [http://www.cegs.caltech.edu/ Center For Excellence in Genomics (caltech)]
 
# [http://www.cegs.caltech.edu/ Center For Excellence in Genomics (caltech)]
 
# [http://gofigure.caltech.edu/beta/ GoFigure software website]
 
# [http://gofigure.caltech.edu/beta/ GoFigure software website]
 
# [http://131.215.17.195:8081/GOFIGURECore/Dashboard/ GoFigure and itkQuadEdgeMesh Dashboard]
 
# [http://131.215.17.195:8081/GOFIGURECore/Dashboard/ GoFigure and itkQuadEdgeMesh Dashboard]

Latest revision as of 23:04, 11 December 2007

Home < NA-MIC NCBC Collaboration:3D+t Cells Lineage:GoFigure
Sample image from confocal Imaging dataset. It represents the ear area of a zebrafish embryo.
Screenshot of the actual GoFigure software. Vizualization of an entire z-stack and segmentation results.


Key Investigators

  • Sean Megason (Caltech)
  • Alex. Gouaillard (Caltech)
  • Titus Brown (Caltech)
  • Yumin Yuan (Kitware)
  • Luis Ibanez (Kitware)

Objective

  1. Distributed Image database
  2. Very large datasets (200+ Gb)
  3. Segmentation of cells in 2D+t, 3D and 3D+t datasets
  4. New Data structure for 2-Manifolds (itkQE)
  5. Cross-platform GUI
  6. investigate Collaboration with NAMIC
  7. hire graduate students for the project.

Approach, Plan

  1. recode / wrap segmentation algos in VTK / ITK
  2. test different segmentations algorithms.
  3. plug in other VTK / ITK segmentation filters.
  4. try to parallelise dataset access through DB.
  5. investgate KWWidgets for GUI.
  6. finish porting QE in ITK.

Progress

  1. IN PROGRESS
  2. DONE
  3. IN PROGRESS
  4. .
  5. DONE
  6. DONE

others

  1. No candidate (sic)
  2. Code Coverage / Memory Checking + dashboard


Scientific Background

Imaging for System Biology

Imaging is becoming a very important approach for doing systems biology because of its unique ability to capture quantitative, longitudinal data at cellular resolution from living organisms. However, the use of imaging for systems biology presents unique and significant challenges for image analysis. We have recently established a Center of Excellence in Genomic Science at Caltech to develop the technology (imaging hardware, image analysis software, and genetic/molecular tools) to develop an imaging based platform for deciphering zebrafish embryogenesis.

In Toto imaging

In Toto Genomic Analysis of Vertebrate Development

This Center of Excellence in Genomic Science (CEGS) assembles a multidisciplinary group of Caltech investigators, Sean Megason, Niles Pierce, Scott Fraser and Marianne Bronner-Fraser, to develop innovative technologies with the goal of imaging and mutating every developmentally important vertebrate gene. Novel "in toto imaging" tools will make it possible to analyze gene expression and function in developing vertebrate embryos in time and space, digitizing in vivo data in a systematic, high-throughput, and quantitative fashion.

Key technologies will be developed and tested in the zebrafish embryo since it is ideal for both imaging and genetics. We are generating FlipTraps to fluorescently mark protein expression and gene function on a genome wide scale, and developing new techniques for in situ hybridization using HCR that permit simultaneous analysis of multiple marker genes. In toto imaging will be used to digitize this marked data quantitatively at cellular resolution throughout embryogenesis. The vast amount of quantitative, in vivo data obtained through this project will serve as the basis for creating a "digital fish" that models the molecular and cellular orchestra that transforms an egg into an embryo.

GoFigure

GoFigure is an image analysis software package specifically designed for visualizing, tracking, and analyzing cells in multidimensional confocal/two-photon image sets. Eventually GoFigure will be able to analyze time-lapse series of confocal image stacks (xyzt) and to automatically segment and track cells in 2D, 2D+time, 3D, 3D+time, and 3D+time+cell division.

GoFigure now runs on the Microsoft Windows platform. GoFigure utilizes a MySql database back-end so it can handle extremely large image sets.

Open Source and Open Software

The Beta version of GoFigure is still only distributed on-demand, the project embrace the OpenSource and OpenData philosophy. We want the software and the data not only to be at the disposition of the researchers but we also want the researchers to be able to make their own modifications and enhancements to it. the transition phase from the Alpha version (prototype) to a full open source software is under work. The actual Alpha version is base on MFC and VTK for the vizualization. The Beta version will be based on the following NA-MIC kits: VTK, ITK, CMake, CTest, CPack and on the following OpenSource software and technologies: svn, track, wiki, mailing list, ... We have postdoctoral positions in the Department of Systems Biology at Harvard and the Departments of Biology and Applied Math at Caltech to fill related to GoFigure development.

Prototype Code in the NAMIC Sandbox

Prototype code for the segmentation of cells from confocal microscopy datasets will be stored at:

http://www.na-mic.org/svn/NAMICSandBox/trunk/CellLineageSegmentation/

Progress before project week:

  1. beta version available
  2. itkQE's core in review for integration in ITK
  3. cmake-compliant configuration/compilation
  4. packaging (cpack)
  5. Dashboard (dart2)

Links:

  1. The megason Lab at Harvard: NAMIC collaborations
  2. Center For Excellence in Genomics (caltech)
  3. GoFigure software website
  4. GoFigure and itkQuadEdgeMesh Dashboard