Finland's Education Sensing Δ 17th of September 2014 Ω 7:19 AM

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~ BioMediTech

»BioMediTech
ξ »Human spare parts program

Computational Biophysics and Imaging Group (CBIG)
Professor Jari Hyttinen

Group develops methods and tools to analyse biological and physiological systems
by combining novel imaging, and biosensing into computational models of the functionality of the tissues and organs.
The main application area is the design and analysis of functionality of tissue
engineered constructs of stem cell based tissues and biomaterials.
Special area of expertise is bioelectric systems and electrophysiological assessment of cellular functions.
They are into process to expand this into better understanding of the bioelectro-mechanics of cells and
tissues during cell differentiation, maturation and function.
This includes for example the electro-mechanical function of cardiomyocytes,
bone cell adaptation to leading, epithelial transport function and neuronal systems development and signalling.

The research covers the basic research on the topic as well as applied research to develop methods
for diagnosis and drug development including imaging, measurements and computational models.

The group consist of five post docs and fifteen PhD students and some graduate and undergraduate students.
Current research projects include EU FET-open project 3DneuroN
that the group is coordinating,
three Academy of Finland projects;
Modelling and assessment of epithelial functions
– towards validation of tissue engineering products and personalized therapies,
Functional and Electrophysiological Characterization of Stem Cell Derived Retinal Pigment Epithelium,
Development of an in Vitro Measuring System for Ophthalmic Applications (Post-doctoral project of PhD Soile Nymark), and
Active Biomaterials for Retinal Prosthesis (PI Prof Minna Kellomäki)
all these are also part of BioMediTech Human Spare Part research program mainly financed by Tekes and Pirkanmaa regional Funds.

Methods and Models for Biological Signals and Images (M2oBSI) group
Professor Ulla Ruotsalainen

The research area of the Methods and Models for Biological Signals and Images (M2oBSI) group
is biological and medical image reconstruction, processing and analysis.
The aim is to develop signal and image processing methods for automatic analysis of 3D functional images.

Computational Neuroscience Laboratory
Dr Marja-Leena Linne
The ‘microchips’ of the brain – the neurons – learn from stimuli and adapt to the changing environment.
These changes are orchestrated by a complex biochemical and biophysical machinery
when neurons mature in specific networks together with other types of brain cells, the glial cells.

They develop computational models to understand the functions of individual neurons,
as well as the networks of neurons.

First, they develop models to study the role of receptor-ion channel complexes and
signal transduction pathways in modifying neuronal calcium dynamics and excitability.

Second, they combine these models with the models of whole neurons and
small-scale networks of neurons in order to understand their dynamic behavior.

The ultimate goal of the work is to provide multi-scale models of neuronal networks in vitro
to understand the mechanisms leading to plastic changes in neuronal systems.
The consequences of stochasticity on neuronal phenomena are addressed and taken into account in modeling when appropriate.

The computational methods developed by them are tested and applied using data available in literature
as well as using the data from our own and collaborating laboratories.

The work has implications not only to understanding the basic mechanisms of learning and memory in the brain
but also to the disrupted mechanisms leading to neuronal dysfunctions such as in Alzheimer’s disease or epilepsy.

The Computational Neuroscience (CNS) Laboratory is located at Tampere University of Technology,
Department of Signal Processing, and led by Dr. Marja-Leena Linne.

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~ Tampere University of Technology

»Tampere University of Technology

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