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Unbiased stereology is recognized in biological research as the best-practice method for quantitative histology.
By tracing neurons, researchers get digital reconstructions that can then be morphometrically analyzed to understand more about neuronal structure.
C. elegans is a common model organism used in research fields such as neurodegeneration, genetics, aging, development, and toxicology.
Neuroscientists at MBF Bioscience have developed user-friendly software programs for performing detailed quantitative analysis of microvessel anatomy.
Physical slides are transformed into digital resources that can be analyzed on any computer, and quickly shared with colleagues no matter where they are.
Brain mapping is a technique used to understand the relationship between an object and its environment.
Enrich your medical education course by using Biolucida®: an interactive learning management software.
Biolucida® stores all of your 2D & 3D image data and metadata in a secure, permanent location accessible via the web.
With Biolucida®, scientific journals can publish entire high-resolution 2D and 3D image data sets in research papers.
Learn more about MBF's machine learning products for neuroscience research.
MBF has solutions to capture microscope images, image stacks, and whole slide images, and we provide options to clarify those images
Tissue clearing techniques have allowed scientists to reconstruct and map neural tissues with higher optical resolution and at greater tissue depth.
Structured Illumination microscopy allows researchers to clearly visualize multiple labels and co-localization within a biological specimen.
Densita quickly calculates Relative Optical Density, luminance, concentration, the area of your ROI, ligand concentration, and the amount of radioactivity.
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