Kitware Awarded $300,000 in National Institutes of Health Research Grants to Fund Advancements in Biomedical Research


Clifton Park, NY (PRWEB) September 12, 2011

Kitware has been awarded two $ 150,000 grants from the National Institutes of Health (NIH) to develop advanced software systems for enhancing digital pathology and remote-access microscopy.

 

These grant awards continue Kitwares longstanding track record of applying open-source systems to solving timely biomedical research challenges.

 

Kitware is focused on providing open-source tools for managing tera-scale histology, and creating long-term solutions to current scientific and medical challenges, said Charles Law, vice president of strategic growth at Kitware and principal investigator on these projects. Whether were building new educational tools or research platforms, our software systems will play a critical role in improving future patient care.

 

In Phase I of the SBIR, “An Open Source Digital Pathology System Supporting Multi-Touch Interaction,” Kitware will develop a freely-available, multi-platform (Windows, Mac OSX, Linux), open-source system for processing slide image data for integration of digital pathology into hospital-wide clinical information systems.

 

High-resolution digital images will revolutionize education and clinical pathology, though acquisition of these images has been slow and expensive. This system will help digitize pathology and incorporate images into electronic medical records, leading to better and more efficient patient care.

 

For Phase I of the NIH SBIR grant, “Large-Scale Time Lapse Imaging to Monitor Neuroplasticity and Circuit Function,” Kitware will build an open-source software system for managing the acquisition, storage and retrieval of massive time-lapse microscopy datasets.

 

The system will accommodate two- and three- dimensional, high-resolution images and provide a user interface for remote operation of the microscope system. This ability to review and provide feedback to the acquisition system as datasets are being built will enable long-term time-lapse studies, without requiring researchers to be at the microscope.

 

As part of Kitware’s innovative, open-source business model, the team will form a community of researchers that will use and contribute to the open system. Kitware anticipates that this software will find widespread use in microscopy as there is increasing demand for software that automates handling of large image datasets. Existing tools are geared mostly toward processing and displaying images that fit in available RAM. While the software will initially be used for time-lapse studies of neuroplasticity in well-defined neural circuits, it will also be useful for slide imaging.

 

About Kitware

 

Kitware, Inc. is a leader in the creation and support of open source software and state-of-the-art technology, and is one of the fastest growing software companies in the country. Kitware leverages its open-source communities and diverse technical expertise to provide advanced custom solutions for a host of complex technical problems. Founded in 1998, Kitware’s team is widely recognized for their major contributions to a variety of open-source software systems including the Visualization Toolkit (VTK), the Insight Segmentation and Registration Toolkit (ITK), CMake and ParaView. Kitware has made an impact in the areas of visualization, data publishing, medical imaging, quality software process, computer vision and informatics. Among Kitware’s global customers and collaborators are top academic research facilities, government institutions and private corporations worldwide. Kitware’s products and services include software support, consulting, custom application development and training and productivity tools that leverage open source systems. For more information, please visit http://www.kitware.com/.

 

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About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

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