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The Computer Optimized Microscopy Course is directed to researchers (microscopy facility stuff members, pre and post-docs, PIs, etc.) who work with digital images obtained by a range of optical microscopy techniques. The course provides a series of mixed theoretical and practical sessions aimed to show the image processing workflow needed to extract quantitative information over different basic and advanced microscopy techniques. From beginning to end, a first general view of image processing basics will be followed by a more detailed focusing on specific applications.
The open source ImageJ / Fiji software will be used as a main tool for the course. For some specific applications, other open source and commercial softwares will be also utilized, thus providing a wider range of solutions to specific image processing problems.
General Subjects:
Parameters to optimize image acquisition
Properties of the digital images
Image restoration: filters
Image restoration: deconvolution
Segmentation
Automation of the process: macro programming
Specific applications:
Colocalization of molecules
Cell tracking
FRET and FRAP analysis
High content screening
3D reconstruction
Machine learning
English.
June, 30th - July, 3rd , 2015
Fee: 250€.
The price includes: registration, one computer for each attendant, the material for the course, the coffee breaks and lunches, and the social dinner.
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Faculty of Biology
University of Barcelona
New building (Prevosti's building) Room 22, Floor -1.
Av. Diagonal 643.
08028 Barcelona
SPAIN
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| Hour | Speaker | Topic |
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| 09:00 - 09:30h | Manel Bosch | Welcome, Overview |
| 09:30 - 11:00h | Elena Rebollo | Optimization of image acquisition |
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| 11:00 - 11:30h | | Coffee Break |
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| 11:30 - 13:30h | Elena Rebollo | ImageJ / Fiji introduction and tools |
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| 13:30 - 15:00h | | Lunch |
| 15:00 - 17:00h | Mª Teresa Castells | Image restoration: Filters |
| 17:00 - 17:30h | | Coffee Break |
| 17:30 - 19:30h | Manel Bosch | Introduction to macro language |
| 21:30h | | Social Dinner |
| Hour | Speaker | Topic |
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| 09:00 - 11:00h | Carlos Sánchez | Image restoration: Deconvolution |
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| 11:00 - 11:30h | | Coffee Break |
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| 11:30 - 13:30h | Manel Bosch | Image segmentation |
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| 13:30 - 15:00h | | Lunch |
| 15:00 - 17:00h | Elena Rebollo | 3D Reconstruction |
| 17:00 - 17:30h | | Coffee Break |
| 17:30 - 19:30h | Manel Bosch | Introduction to macro language |
| Hour | Speaker | Topic |
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| 09:00 - 11:00h | Elena Rebollo | Cell tracking |
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| 11:00 - 11:30h | | Coffee Break |
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| 11:30 - 13:30h | Maria Calvo | Colocalization |
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| 13:30 - 15:00h | | Lunch |
| 15:00 - 17:00h | Elena Kardash | FRET analysis |
| 17:00 - 17:30h | | Coffee Break |
| 17:30 - 19:30h | Manel Bosch | Macro programming |
| Hour | Speaker | Topic |
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| 09:00 - 11:00h | Diego Megías | FRAP analysis |
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| 11:00 - 11:30h | | Coffee Break |
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| 11:30 - 13:30h | Diego Megías-Paco Porto | High content screening |
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| 13:30 - 15:00h | | Lunch |
| 15:00 - 17:00h | Sebastien Tosi | Machine learning |
| 17:00 - 17:30h | | Coffee Break |
| 17:30 - 19:30h | Manel Bosch | Macro programming |
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 Manel Bosch. Centres Científics i Tecnològics. Universitat de Barcelona. CCiTUB
Maria Calvo. Centres Científics i Tecnològics. Universitat de Barcelona. CCiTUB
Maria Teresa Castells. Servicio de Apoyo a la Investigación. Universidad de Murcia
Elena Kardash. Biochemistry department. University of Geneva
Diego Megías. Centro Nacional de Investigaciones Oncológicas. CNIO
Paco Porto. Leica Microsystems
Elena Rebollo. Institut de Biologia Molecular de Barcelona. IBMB-CSIC
Carlos Sánchez. Servicio de Microscopía Optica y Confocal. Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM)
Sebastien Tosi. Institut de Recerca Biomèdica de Barcelona. IRBB
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WARNING: Registration open until 30th April, 2015.
Fee: 250€
(*) Mandatory fields
NOTES: Number of seats is limited. The course is subject to the enrollment of a sufficient number of students. The student is not inscribed into the course until the payment is done. In case of cancelling the enrollment by the student, the student has to inform 15 days before the course starts.
For more information contact to:
admincursos@ccit.ub.edu.
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