- Systems and Solutions for Biological Research
- About MBF Bioscience
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In 2008, we celebrate 20 years of providing trusted, proven solutions to researchers around the world. We will work with you to customize integrated image analysis software and microscope peripheral systems to meet your individual research needs. And our support team is world-renowned for its dedication to keeping customers productive.
- Introducing MBF Labs
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Do you need stereology data or a neuron reconstruction to supplement your experimental paradigm? Let MBF Labs collect the data for you. We fill the gap of expert data collection without the need to for capital investment in specialty equipment. Visit the MBF Labs site for more information.
- Recent News
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Summer 2008 Issue of THE SCOPE Now Available
The latest issue of The Scope is now available. Click here to view the pdf. To join the Scope mailing list, click here.
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Pulmonary Edition of Stereo Investigator Released
Stereo Investigator Pulmonary Edition, the latest software solution from MBF Bioscience, is designed specifically to assist pulmonary researchers with quantitative stereological analysis.
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Midwest Office Now Open
Our customers in the Midwest now have additional local support, including sales and on-site technical assistance, thanks to the opening of a new office in Chicago, Illinois.
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The most trusted and proven solutions for researchers
What Our Products Can Do For You
Quantify Neuronal Morphology
Perform detailed morphometric analysis of neurons, such as quantifying branching structures, dendritic spine distribution, creating detailed anatomical models. Neurolucida is the standard neuron reconstruction tool in neuroscience laboratories worldwide.
Serial Section Reconstruction
Perform 3D reconstructions from serial sections. Obtain quantitative results such as volumes of cytoarchitectural regions and nuclei.
Count multiple fluorescently labeled cells
Stereo Investigator, combined with a spinning disk confocal microscope allows you to use stereology to quantify data rapidly, without bias or unnecessary over-sampling, getting you quickly to statistically valid results.