Only Cellairus 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. Cellairus 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, Cellairus identifies cells in 3D image volumes throughout 3D brain regions using the same observer criteria as a human expert. Cellairus 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.
Cellairus 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. Cellairus automates the most widely used unbiased stereological probe for counting cells, the optical fractionator.
Using the defined counting frame, grid size and disector parameters, Cellairus 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.
Cellairus 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.
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MBF’s software is 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.
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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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