Only Stereo Investigator AI provides automatic, accurate, unbiased, high-throughput 3D cell quantification in fluorescently-labeled histological specimens.
Unbiased stereology is recognized as the gold standard for accurate quantification because it is a rigorous and accurate methodology for quantifying features of biological tissues. Stereo Investigator AI dramatically accelerates stereological cell counting through the use of machine learning to replicate expert human observer judgments of about recognizing cells, their location and size. Once the machine learning algorithms are trained, Stereo Investigator AI identifies cells in 3D image volumes throughout 3D brain regions using the same observer criteria as a human expert. Stereo Investigator AI has been developed by the leading experts in stereology to preserve the integrity and benefits of stereology, while substantially reducing the amount of time needed to perform accurate quantification cell populations.
Stereo Investigator AI uses state-of-the-art machine learning techniques, integrated with unbiased stereological counting rules, systematic random sampling (SRS) unbiased stereological sampling, and easy to learn workflows to classify, and quantify cells in 3D images. Stereo Investigator AI automates the most widely used unbiased stereological probe for counting cells, the optical fractionator.
Using the defined counting frame, grid size and disector parameters, Stereo Investigator AI detects all cells at each counting site. Once all objects are automatically detected within each counting frame site; the counting rules are then applied to filter and only retain the detected cells that fall within the disector.
Stereo Investigator AI can be trained to differentiate between different cells types, sub-cellular objects and non-cell objects. To accommodate varying neuron densities in different brain regions, machine learning classifiers can be trained on both dense and sparse neuron populations. Entire studies are rapidly processed.
To avoid bias from standard image segmentation and thresholding techniques, we developed an intelligent automated parameter estimation process. This algorithm analyses individual subvolumes with high numbers of objects and optimizes key segmentation parameters to best match objects’ structure.
Objects are automatically detected in 3D within each counting frame site, the unbiased counting rules are then applied to only count the detected cells that fall within the optical disector. The well-established mathematical formulae used in design based stereology are then applied to produce statistically robust results about cell population that are assessed for accuracy using stereological coeffect of error estimates.
MBF products are used across the globe by the most prestigious laboratories.
MBF’s software utility is underscored by the number of references it receives in the worlds most important scientific publications.
Boeglin, M., E. Leyva-Díaz, et al.
Expression and function of C. elegans UNCP-18, a paralogue of the SM protein UNC-18View Publication
Rentsch, P., T. Egan, et al.
The ratio of M1 to M2 microglia in the striatum determines the severity of L-Dopa-induced dyskinesiasView Publication
Wang, Z., D. Zheng, et al.
Enabling Survival of Transplanted Neural Precursor Cells in the Ischemic BrainView Publication
Villar-Conde, S., V. Astillero-Lopez, et al.
Synaptic involvement of the human amygdala in Parkinson’s diseaseView Publication
Stimpson, C. D., J. B. Smaers, et al.
Evolutionary scaling and cognitive correlates of primate frontal cortex microstructureView Publication
Russ, T., L. Enders, et al.
2,4-Dichlorophenoxyacetic Acid Induces Degeneration of mDA Neurons In VitroView Publication
Olkhova, E. A., C. Bradshaw, et al.
A novel mouse model of mitochondrial disease exhibits juvenile-onset severe neurological impairment due to parvalbumin cell mitochondrial dysfunctionView Publication
Zhang, X., C. Wang, et al.
Analysis of Error Sources in the Lissajous Scanning Trajectory Based on Two-Dimensional MEMS MirrorsView Publication
Lu, J., Behbahani, A.H., Hamburg, L. et al.
"Transforming representations of movement from body- to world-centric space."
Yes, it works with multichannel fluorescent images.
Yes, you are able to audit and inspect the results to assess the accuracy using the dynamic 3D visualization environment.
Yes, different classifiers can be trained for different types of cells or imaging methos. Cellairus is shipped with some classifiers built in. You can even contract training for your specific experiments to us and we will train the classifier for you.
Yes, the results will be computed using established stereological formulas.
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Andrew Hardaway, Ph.D. Vanderbuilt University
"MBF Bioscience is extremely responsive to the needs of scientists and is genuinely interested in helping all of us in science do the best job we can."
Sigrid C. Veasey, MD University of Pennsylvania
"I am so happy to be a customer of your company. I always get great help related with your product or not. With the experienced members, you are the best team I've ever met. All of your staff are very kind and helpful. Thank you for your great help and support all the time."
Mazhar Özkan Marmara Üniversitesi Tıp Fakültesi, Turkey
"We’ve been very happy for many years with MBF products and the course of upgrades and improvements. Your service department is outstanding. I have gotten great help from the staff with the software and hardware."
William E. Armstrong, Ph.D. University of Tennessee
"Our experience with the MBF equipment and especially the MBF people has been outstanding. I cannot speak any higher about their professionalism and attention for our needs."
Bogdan A. Stoica, MD University of Maryland
"MBF provides excellent technical support and helps you to find the best technical tools for your research challenges on morphometry."
Wilma Van De Berg, Ph.D. VU University Medical Center - Neuroscience Campus Amsterdam
Our service sets us apart, with a team that includes Ph.D. neuroscientists, experts in microscopy, stereology, neuron reconstruction, and image processing. We’ve also developed a host of additional support services, including:
At MBF, we’ve spent decades understanding the needs of researchers and their labs — and have a suite of products and solutions that have been specifically designed for the needs of today’s most important and advanced labs. Our commitment to you is to spend time with you discussing the needs of your lab — so that we can make sure the solutions we provide for you are exactly what you’ll need. It’s part of our commitment to supporting you — before, during, and after you’ve made your decision. We look forward to talking with you!
Ground-breaking light sheet microscope system for cleared specimens.
The complete stereology solution. The gold standard for unbiased cell counting.
The gold standard in unbiased stereology for use on cleared tissue.