Major New Release of CellOrganizer 2.0

Example cell image generated by CellOrganizer showing the nuclear membrane (red), cell boundary (blue) and individual lysosomes (yellow).A major new release of the CellOrganizer system for creating image-derived models of cell shape and organization has just been published. The software is a major focus of research supported by the NIH through the National Center for Multiscale Modeling of Biological Systems (MMBioS). It creates statistical, generative models of cell and nuclear shape, microtubule patterns, and vesicular organelles that can be used as the basis for cell simulations (another focus of MMBioS). Generative models capture not just a description of a pattern but the ability to produce new examples of that pattern (analogously to the way in which humans capture models of letters or spoken words not just by describing them but by learning to produce new examples). Support for CellOrganizer has also come from NIH grants GM075205 and GM090033.

Read more: Major New Release of CellOrganizer 2.0

Salk scientist Terrence Sejnowski elected to American Academy of Arts and Sciences 

sejnowskiLA JOLLA, CA—Salk researcher Terrence J. Sejnowski, professor and head of the Computational Neurobiology Laboratory, has been elected a Fellow of the American Academy of Arts and Sciences, a distinction awarded annually to global leaders in business, government, public affairs, the arts and popular culture as well as biomedical research.

Sejnowski is world renowned as a pioneer in the field of computational neuroscience and his work on neural networks helped spark the neural networks revolution in computing in the 1980s. His research has made important contributions to artificial and real neural network algorithms and applying signal processing models to neuroscience.

Read Full Article:  http://www.salk.edu/news/pressrelease_details.php?press_id=611

 

 

Neuroimaging Resource Powers-up with new Cloud Computing Capability

A valuable resource for MMBioS researchers is now "in the cloud".

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A library of tools for analyzing brain images and related data has moved to the “cloud,” potentially enabling faster and cheaper analysis and hypothesis-testing.

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Follow the Money: Big Grants in Biomedical Computing

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The clear winner: Big Data 

MMBios Featured in Biomedical Computation Review, highlighting Big Data by "Bridging Gaps in Multiscale Modeling"

Several biomedical computing projects received big money in the fall of 2012. If there’s one clear winner, it’s “Big Data”: three of the grants focus on building new computational infrastructure and tools for dealing with massive biological datasets. A fourth grant focuses on building new tools for multiscale modeling.

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NIH Awards $9.3 Million to Establish Biomedical Technology Research Center 

PITTSBURGH, Nov. 30, 2012 – The University of Pittsburgh School of MedicineCarnegie Mellon University (CMU), the Pittsburgh Supercomputing Center (PSC) and the Salk Institute for Biological Studies (Salk) have been awarded a five-year, $9.3 million grant from the National Institutes of Health (NIH) to establish the Biomedical Technology Research Center (BTRC) that will develop computational tools for modeling and simulating biological systems from the tissue level down to the molecular level.
 
By filling in the missing pieces between modeling efforts at disparate scales of structural biology, cell modeling and large-scale image analysis, this new collaborative initiative seeks to identify the molecular and cellular mechanisms that control neurotransmission and signaling events, which in turn could lead to the development of novel treatments for nervous system disorders.

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