services & solutions

TissueInformatics' Tissue Information Solutions provide accurate and reproducible analyses of tissues' important structural and functional characteristics. Tissue Information Solutions create new knowledge and bring greater speed and accuracy for better decisions in scientific research and development by increasing efficiency and enhancing throughput of any process relating to the extraction of tissue information.

 
     

Any Feature That Can Be Made Visible Can Be Automatically Extracted & Analyzed
At TissueInformatics, we have built a state-of-the-art laboratory that supports tissue handling and histological preparation, tissue culture, molecular analysis and brightfield, fluorescent and spectral microscopic imaging. Our systems allow us to use microscope-mounted robotics to automatically capture and create digital images of tissues from slides at high-resolution through a combination of sequential field views that are fused together into a complete tissue representation (a "montage"). Our remote imaging technology enables us to perform this acquisition step and deliver images from anywhere in the world.

Looking good apartments in Odessa? Visit http://www.odessarentaflat.com/. Tissue Information Solutions automatically capture, analyze and archive digital images in large, searchable databases, with direct application to:

  • biomedical and ag/bio research where large inventories of tissue images are either being created or previously exist such as pathology and toxicology studies for drug development and quality assurance testing for engineered tissues
  • research where investigators or regulatory bodies such as the FDA or EPA require the maintenance of all image records.

 
 


The Power of Quant
f(x)
Each customizable Tissue Information Solution is based upon TissueInformatics' unique Quantf(x) (pronounced ef-ex) technology platform. Quantf(x) is applied to automatically quantify any feature ( f ) of interest in a customer-defined tissue investigation ( x ). Quantf(x) applications automatically create quantitative descriptions of tissue structure and function, replacing existing processes that require subjective, manual analysis by a technician, are time consuming for pathologists, and are often limited in analytical capability. Within minutes, Quantf(x) can generate graphic results for easy interpretation. This quantitative information is linked with high-resolution tissue images and is stored in a flexible data structure that can later be correlated with genomic or other biological information for a fully-integrated bioinformatics solution.

Quantf(x) has been applied to more than a dozen different types of tissues in early testing, such as blood vessels, brain tissue, cartilage, bone and others, and is customizable to analyze any feature of any type of tissue.

Download an Information Sheet on Quantf(x)


 


Derm
f(x) Analyzes Skin's Structure and Biology
Dermf(x) provides a comprehensive assessment of skin structure and biology for research and product development in wound healing, transdermal drug delivery, skin products, cosmetics and engineered tissues.

The application of Dermf(x) analyzes human and engineered skin features visible at the microscopic level to characterize and quantify any critical, structural element. These features are analyzed to create quantitative data such as:

  • layer shape, thickness and integrity,
  • cell numbers and distribution,
  • matrix density and organization.

Analysis of these structural characteristics results in a greater understanding of the relationship between skin structure and disease, the effects of external factors such as sun and drug compounds on skin, and provides guidelines for the rational design of engineered tissues and helps ensure their quality.

In one customized application, TissueInformatics developed a Dermf(x) solution to assist a tissue engineering company's quality control process, ensuring that their product meets approved standards for release and minimizing lot-to-lot variability during production. Now, analysis that previously required several days for a technician and pathologist to manually analyze can be completed in a few minutes by Dermf(x) for faster product delivery and clinical availability.

See a Demonstration of Dermf(x)

 
Value Added Tissue Procurement

Through our Value Added Tissue Procurement service, TissueInformatics provides human tissue for use primarily in drug discovery research, especially for genomic and cancer research. A consistent supply of high-quality human tissues is provided through TissueInformatics' network of hospitals, university medical centers and other quality suppliers. In accordance with our corporate principles, TissueInformatics' staff of renowned scientists and highly skilled laboratory professionals procure and process only tissue that has been ethically obtained, pre-processed according to stringent protocol and pathologist released, and meeting the exact specifications of our partners and customers. In addition, our general counsel is a nationally recognized expert in the legal and ethical issues associated with the procurement and use of human tissues. At TissueInformatics, we know that a donation of tissue for research purposes is a great gift and treat tissue as the precious resource it is.

 
 
Relational Databases

Our Tissue Information Solutions can be further enriched when correlated with genomic, proteomic and other data, combining structural with functional information to create a robust platform for understanding disease and drug effects. To reap the full power of the Quantf(x) platform, structural tissue data can be linked to other biological information in a relational database for the perpetual ability to archive, manage, correlate and mine these images and annotated, quantitative data.

Click on the demonstration below to see a brief example of the query tools, data mining capabilities and correlative information of a Tissue Information Solution for the rapid, reliable comparison of human skin.
 
 

Images were captured from slides received from Arnold I. Caplan, Ph.D.,
Case Western Reserve University.

See a Demonstration of a Relational Database
     

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