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C M C I  S e m i n a r

last update: July 28, 2008


Aim:
Centre for Molecular and Cellular Imaging seminar will gather researchers involved in image processing / analysis / simulation to facilitate their communication and to share ideas.

Schedule: See Below.

Contact: Kota Miura (miura"a"embl.de, ex 8404) Centre for Molecular and Cellular Imaging, EMBL Heidelberg

Seminar Schedule
2006 | 1 | 2 | 3 | 4 | 5 | 6 |7 | 8 | 9 |10 |11 |12 |
2007 | 1 | 2 | 3 | 4 | 5 | 6 |7 | 8 | 9 |10 |11 |12 |
2007 | 1 | 2 | 3 | 4 | 5 | 6 |7 | 8 | 9 |10 |11 |12 |


July 31 (Thu) 2008 @ Small Operon


15:00-16:00

Anke Meyer-Baese
Department of Electrical & Computer Engineering, FAMU-FSU College of Engineering, Florida State University

Title: Pattern Analysis and Visualization in Computer-Aided Diagnosis:Cross-Fertilization between Biomedical Imaging and Engineering

Abstract: Technical innovations in medical cross-sectional imaging have opened up new vistas for the exploration of the human body, enabling both high spatial and temporal resolution. However, these techniques have led to vast amounts of image data whose precise and reliable visual analysis by medical doctors and bioscientists requires a considerable amount of human intervention and expertise, thus resulting in a cost factor of substantial economic relevance. Hence, the computer-assisted analysis of medical image data has moved into the focus of interest as an issue of high priority research efforts. The talk covers novel methods for pattern analysis, visualization and computer-aided diagnosis in the field of biomedical imaging, specifically MRI, such as functional MRI for human brain mapping, dynamic cerebral contrast-enhanced perfusion MRI and new approaches to breast cancer diagnosis in MRI mammography. An outlook to topical projects in systems biology confirms the broad applicability of the presented methods.


Anke Meyer-Baese is author of   “Pattern Recognition for Medical Imaging” (2003).




 Previous seminars


July 25 (Fri) 2008 @ large operon


11:00-12:00

Robert Murphy
Professor of Biological Sciences, Biomedical , Engineering, and Machine Learning, Director, Ray and Stephanie Lane , Center for Computational Biology, Carnegie Mellon University

Title: Automated Determination and Modeling of Subcellular Location for Systems Biology

see --> http://murphylab.web.cmu.edu/ for his projects.




  Jan 21 (Mon) 2008 @ small operon
 

11:00-12:00

Christian Tischer

Spatial Regulation of Microtubule Dynamics in Fission Yeast

Christian Tischer 1, Damian Brunner 2, and Marileen Dogterom 1

1. FOM Institute for Atomic and Molecular Physics (AMOLF), Kruislaan 407, 1098 SJ Amsterdam, The Netherlands
2. European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany

Microtubules are protein polymers that form an integral part of functional cytoskeletal networks inside eukaryotic cells. Specific microtubule networks are central to the organization of the intracellular space and they are involved in the control of  cell morphology. To understand how microtubules fulfill these functions it is important to understand how the lengths of microtubules are adapted to cell size and shape. In fact, individual microtubules typically have no fixed length but constantly switch between a growing and a shrinking state in a process termed dynamic instability. One of the keys to better understand microtubule function is to investigate how the rates that govern microtubule dynamics are regulated inside cells.
In interphase fission yeast (S. Pombe) cells, microtubule catastrophes occur preferentially at the distal ends of elongating cells, but the mechanism by which this spatial selectivity is obtained is not yet understood. We developed automated image analysis procedures to measure microtubule catastrophe rates with unprecedented statistics and at high spatial resolution. We find that: (i) pushing forces generated by growing microtubules induce catastrophes specifically at the cell poles; and (ii) long microtubules undergo catastrophes more often than short ones. Moreover, we show that the microtubule destabilizing motor proteins Klp5/Klp6 enhances the catastrophe rate in a spatially selective way.



 Oct 26 (Fri) @ room 202
 

14:00-14:30

Jerome Solon (EMBL Heidleberg)
"Image processing using Matlab: Applications in particle and cell detection"

14:30-15:00

Kota Miura (EMBL Heidelberg)
"Measurement and Evaluation of Cell Migration: Part I"



   Aug 22 (Wed) @ Small Operon
 

14:00-15:00

Shigenori Nonaka (Dept. of Imaging Science, National Institute of Basic Biology, Okazaki)
"Symmetry break in mammalian development: Left-right determination"

references:
"Randomization of left-right asymmetry due to loss of nodal cilia generating leftward flow of extraembryonic fluid in mice lacking KIF3B motor protein. "
Nonaka et al.
Cell. 1998;95:829–837. [Link]

"Determination of left–right patterning of the mouse embryo by artificial nodal flow"
Nonaka et al.
Nature 418, 96-99 (4 July 2002) [Link]

"De Novo Formation of Left–Right Asymmetry by Posterior Tilt of Nodal Cilia"
Nonaka et al.
PLoS Biol. 2005 August; 3(8): e268. [Link]




   June 15 (Fri) @ 6.15b
 

14:00-15:00

Young-Tae Chang (Department of Chemistry,  New York University )
"Colorful Chemical Genetics"

Abstract:  With the successful result of Human Genome Project, we are facing the problem of handling numerous target genes whose functions remain to be studied.  In chemical genetics, instead of using gene knock-out or overexpression as in conventional genetics, a small molecule library is used to disclose a novel phenotype, eventually for the study of gene function. The most serious bottleneck of modern chemical genetics is target identification.  To surrogate the currently popular affinity matrix technique, our group has developed fluorescence libraries for a visualization of the biological events.  High throughput strategy using colorful chemical genetics will open the efficient road to chemical genomics and proteomics.

   (see Young-Tae Chang lab URL --> Link)


    May 25th (Fri) @ Small Operon
 
14:00-15:00

Emre Yaksi (Department of Biomedical Optics,  Max-Planck-Institute for Medical Research )
"Imaging odor responses in zebrafish forebrain by using two-photon microscopy"

Marco Marcello recommended him for giving a talk at the CMCI seminar. The way he analyzes image data is very interesting.
   (see Yaksi & Friedrich (2006) Nature Method 3: 377 --> Link)


   May 4th (Fri) @ 6.51b
  
14:00-15:00 SIMIBiocell demonstration:

Prof. Ralf Schnabel
(Technical University of Braunschweig)
"SIMIBiocell  a software to evaluate 4D-microscopic records: documentation of development, cell behavior, gene expression and bioinformatical analyses" (--> Link)


Antje Fischer @ Arendt lab has interest in this software for tracking of cell lineages.4D sequences are manually tracked and their lineage are documented simultaneously to the pre-defined "template"lineage tree.


  March 29th (Thu) 16:00 - 17:00 @ room 202
   
  16:00-16:30 Chaitanya Athale "Software presented at the Computational Cell Biology Meeting, 6-9 Mar 2007 " 30min

  16:30-17:00
Philippe Girard "Regulation of intercellular junctions by nanopatterned adhesive interfaces" 30min




February 6th@ Large Operon (9am to 12am)

CMCI Mini-Symposium: Progress of Mathematical Morphology in Biology

An extended CMCI seminar by five members of Centre of Mathematical Morphology (CMM) in the Paris Schools of Mines and two talks by EMBL staffs (see below).  The seminar will be shown in EBI as well, by live video conference. 

 9:00-9:30
Image Analysis and data mining in a genome wide RNAi screen by time lapse imaging in order to identify mitotic genes
Thomas Walter (CMCI + Mitocheck, EMBL) 
[Abstract]

9:30-10:00
"Presentation of the Centre of Mathematical Morphology "
Fernand Meyer (Centre of Mathematical Morphology, Ecole des Mines de Paris)
[Abstract]

10:00-10:15
"Presentation of the Centre of Computational Biology"
Christian Lajaunie (Centre of Mathematical Morphology, Ecole des Mines de Paris)

10:15-10:45
"Kernel methods for bioinformatics and vision"
Francis Bach (Centre of Mathematical Morphology, Ecole des Mines de Paris)
[Abstract]

11:00-11:30
"Image processing in electron microscopy"
Achilleas Frangakis (Strunctural & Computational  Biology Unit, EMBL)

11:30-11:45
"Morphological-based robust segmentation of cell assays in HCS"
Beatriz Marcotegui (Centre of Mathematical Morphology, Ecole des Mines de Paris)
[Abstract]

11:45-12:00
"A package for statistical analysis and modelling of cell array data."
Christian Lajaunie (Centre of Mathematical Morphology, Ecole des Mines de Paris)
[Abstract]

12:00-12:15
"Ontology-based lymphocyte population description using mathematical morphology on colour blood images"
Fernand Meyer (Centre of Mathematical Morphology, Ecole des Mines de Paris)
[Abstract]







3 November @ seminar room 6.51a

  14:00 - 15:00  Khaled Khairy (MPI Cell Biology and Biophysics, Dresden)
         What is the basis of erythrocyte morphology? From 3D image to membrane mechanics



27 October @ small operon

  14:00 - 15:00  Joel Beaudouin (DFKZ, Heidleberg)
          Analysis of FRAP experiments in the context of chromatin interacting proteins





15 September @ small operon

14:00 - 14:30  Philipp Keller

        Imaging and analyzing microtubule dynamic instability in 3D

        i) 3D spherical mapping centering at the centrosme to initialize the position of microtubules
              phi vs theta density map at certain radius-> background correction, waterhed, then detect centers of the hot spot

        ii) filament tracing in 3D, especially the tip detection is difficult but the key point:
            end point determination by standarfd deviation of the 2D plane normal to the filament long axis.

        iii) Output coodrinates were fitted with 3rd-order polynominal. Analyzed for dynamic instability, mechanical properties

       .. written in Matlab

14:30 - 15:00  Francois Pouthas

       Cells under confined geometry

        i) substrate patterning to control the cell shape --> averaging of the signal distribution is possible

        ii) method developed for long term observation under high serum condition

        iii) Analysis:
            a) Golgi positioning, distance from the nucleus during steady state.
            b) Goligi positioning during migraiton: Front or Back? Nucleus, Golgi tracking
            c) Correlation between Protrusion and Retraction: cell edge tracking

       image analysis done using ImageJ.


14 July (Fri), 2006 @ Small Operon

14:30 Johanna Hoog

                   Tomography of cells - method and software
                         IMOD, the software specially fit for microtubule imaging.
                         General introcuction to tomography

15:00 Julien Mozziconacci

                    Image analysis of tubulin oligomers
                         Ontogeny of single microtubule filament: create model and verify using static images
                          - static image of tubulin solution contains tubulin oligomers with different size.
                          - size distribution enables evaluation of models.
                          - size distribution measured using ImageJ native function 'particle counting'

                        
7 July (Fri), 2006 @ Small Operon

16:00-17:00  Evgeny Gladilin (DFKZ, Heidelberg)

                     3D image-based modeling and analysis of cellular structure
                      - uses AMIRA and Visualizaiton Tool Kit
                      - topic 1: Computer Aided Surgery Planning (CASP)
                      - topic 2: 3D genome project: registration of intraceuular structure is a challenge.
                                        --> would it be possible to "Normalize" certain struncture in cell biology?       
                      - topic 3: Cell Mechanics: Fibroblast Stretching
                                        use FEM for modeling stretch-induced cell shape changes.


12 June, 2006 @ Small Operon

14:30 Arne Seitz
                Conference Report: ImageJ meeting @ Luxemburg

               conference official web site       
                conference program
                - Two Useful PlugIns introduced.
                1. Image5D & Sync_windows Plugin by Joachim Walter.   
                    Excellent for processing and checking 3D-time lapse with multiple channels.

                2. MRI Visual Scripting Plugin by Volker Baecker 
                    Menu commands can be composed as scripts with flow control statements.
                    This sounds like a macro, but can be more easily done by  graphical user interface + drag & drop.


15:00  Cihan Cetin
                  Morphometry and Algorithms:
                  Categorization of spindle shapes by fuzzy logic

                  - Task of the reaserach is to develop methods for a drug screening.
                     Find out the population ratio of cells with anomalous spindle shapes. 

                  - Introductory explanation for the Fuzzy logic was given.
                     - Fuzzy logic uses linguistic variables for both input values and output values
                        to conclude a decision which seemingly is fuzzy for drawing a conclusion with
                        classic binary logic. The spindle shape & patterns are various and complex - fuzzy.
                        For this reason, fuzzy logic was used. Spindle shape and patterns where successfully
                        categorized using the morphometric parameters such as area, convex-hull, orientaion,
                        orientation matching, distance between spindle pair. 


5 May, 2006 @ Small Operon

10:00    Jan Ellenberg
                 Introduction
                      - Role and funciton of CMCI
                      - Image Processing / Analysis is becoming an inevitable tool for biology.

10:10    Kota Miura
                 Re-defining Organelle
                     
                      -  Organelle --> Protein dynamics (Convensional: static)
                      -  Protein Dynamics  --> Organelle (novel approach: dynamic)
                      -  Probability distribution function rather than segmentation.
   
10:40    Jerome Solon   
                Intracellular Protein Movement:
                Automatic Tracking

                    - Tracking of Microtubule associated protein EB1, EB3
                    - Thresholding to segment particles.
                    - Measure the position of particles.
                    - Link particles positions in the time series: minimizing the function "Phai" to serch for the candidate.
                            - generate an evaluation matrix: similar to the graph theory based approach by Danuser group
                    - mistakes: only 3 %, evaluated by Lucia
                    - Combination of IgorPro and ImageJ
                     
11:10    Peter Verveer  
               Image processing of fluorescence microscopy data on a large scale with Python:
            FLIM and SPIM data


              - Merits of Python:
                     - easy scripting, but also a true programming  language
                      - extendible with C/C++
                      - strong user community
                      - well documented
                      - good support for numerical computations
                - Screening using FLIM:
                      - large data sets (~30GB)
                      - screen around 500 clones with FLIM
                      - data analysis with Python takes a few hours  on Power Mac
                - Deconvolution of large 3D SPIM data:
                      - custom deconvolution softeware written in  Python
                      - splitting large image data (5Gb~) into parts
                      - calculation using EMBL cluster

11:40    Julien Colombelli
                Cytoskeletal Dynamics:
                Fitting and modeling cellular contractility

               - Mechanics of contraction after laser nanosurgery
               - Contraction kinetics derived by kymograph and detecting the tip position (2D-> 1D)
                           - edge detection -> Vertical derivative
                                + Gaussian fitting along space axis of the kymograph to track the tip.
                           - contraction kinetics fitted with double-exponential equation.
               - Molecular candidates of intracellular stress sensing
               - Modelling: various type of elastic contraction and resulting simulated kymographs.
               - Exploring parameter space with different spring constant combinations.
               - MatLab, IgorPro, ImageJ
               
12:10 - 14:00 Break

14:00    Francesco Pampaloni
                  
                Mechanics and dynamics of microtubules studied with video-microscopy single-particle tracking:
                theoretical and technical aspects

                - Measurement of fluctuation of beads attached to single microtubule filament
                    - 3D movement tracked. Z-axis  --> defocusing method. 
                    - IgorPro was used for tracking. For 2D, recently published ImageJ plug-in is better (Link).
                    - Data Processing in MatLab
                - Estimation of the mechanical properties of microtubule, sliding distance between subunits.
                - Power spectrum of fluctuation without Foulier Transform
              
14:30    Chaitanya Athale
                   Analyzing Aster Length in Xenopus Egg Extracts:
                   Algorithms for tracking fibres
         
                   - Morphometry of aster shapes.
                         - Francois Nedelec's MatLab program --> radial intensity distribution
                         - Optimization for measureing asymmetrically shaped asters.
                         - Further development for tracking fibres.

15:00    Kota Miura
                 FRAP curves: models and analysis
                   - FRAP analysis program written in IgorPro (Link).
                   - Single exponential, Double exponential, and
                      two diffusion dominant models are reday for curve fitting.

15:30 - 16:00 Break

16:00    Felipe Mora-Bermúdez
                  
                   Anisotropic Diffusion filtering applied to live-cell imaging
                     
                      - theoretical background
                          - Isotropic diffusion <-> Anisotrapic diffusion (bounded by Edge stopping function).
                          - Edge-stopping funciton, using gradient of the image.
                      - Comparison of different iterations appied to microtubule images.
                       - Anisotropic diffusion filtering is available in ImageJ (Link).

16:30   Thomas Walter
                    Extracting Shape Parameters:
                    Automatic quantification of angiogenesis
                    - Application to angiographies of the CAM of chicken embryos
                  
                   - Geodesic distance based approach .. find the local maximum for the distance from radial center.
                         - looping problem
                   - Automatic measurement of following parameters:
                         - No. of bifurcations
                         - Number of Crossings
                         - Branch Length
                          Vessel Length


17:00    Concluding Remarks        



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