Stereo Investigator®AI
Automatic, accurate, unbiased, high-throughput cell quantification in histological specimensProduct Overview
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.
Key Benefits
- Deep learning algorithms provide accurate, unbiased, and robust results
- Work with single and multi-channel fluorescence microscopy
- Detect co-localized labels using cellular and sub-cellular markers
- Substantially faster than manual stereology – do more work in less time
- More accurate than ad hoc 3D detection methods
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.
Recommended Hardware Requirements
| 64-bit Windows 11 operating system |
| CPU with 12 cores (16 threads) or more. More cores improve performance when using large data sets (>1 GB). |
| Solid state hard drive(s). Preferably, non-volatile memory express (NVMe) drives. |
| 64 GB of system memory or more. More memory is better for large data sets, especially for image handling and reconstruction in the 3D environment. |
| Graphics card with 8 GB memory or more. Most graphics cards from NVIDIA have been tested with MBF Bioscience software. |
| Minimum Hardware Requirements |
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| 64-bit Windows 10 operating system |
| 8 core processor (16 threads) |
| 32 GB memory |
| Graphics card with 6 GB memory or more: This is the minimum needed for the 3D environment |
| Computer-Hardware Upgrade Priorities |
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| To upgrade your system for better performance with MBF Bioscience software, we suggest that you prioritize computer hardware upgrades as follows: |
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Please contact us to consult with our technical specialists for a more precise recommendation specific to your data needs.
Download Stereo Investigator AI product sheet here.
Combining machine learning with stereology: The next generation of unbiased 3D stereology for cell counting
The next generation of unbiased 3D stereology for cell counting: Automatic cell counts generated by Cellairus’s artificial intelligence technology are analogous to manual cell counts
Stereo Investigator AI: Applying deep learning methods for automatic cell counts in a new unbiased 3D stereology software package
Stereo Investigator AI: Key Features
Stereology Parameters
An easy to use, powerful workflow guides the user through the process of setting up a study: drawing contours, and defining the counting frame, grid sizes and disector parameters.
Stereo Investigator AI: Key Features
Calculate Thickness
Stereo Investigator AI was developed to work in real lab situations, even where not all tissue is perfectly stained or has variations in section thickness. Testing has demonstrated it is consistent with results obtained by manual measurement by expert users.
Stereo Investigator AI: Key Features
3D Image Segmentation
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.
Stereo Investigator AI: Key Features
Train Machine Learning Classifier
The classifier is trained by manually marking the center and diameter of cells within small subregions. For this study, the training process presented ~90 subregions across the full rostro-caudal extent; requiring ~1 hour of time.
Stereo Investigator AI: Key Features
Apply Counting Rules and Calculate Population Estimates
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.
Who Is Using MBF Products?
MBF products are used across the globe by the most prestigious laboratories.
Cited in Peer Reviewed Scientific Publications
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."
Frequently Asked Questions (FAQ)
Does Stereo Investigator AI work with fluorescent images?
Yes, it works with multichannel fluorescent images.
Can I audit the probe runs?
Yes, you are able to audit and inspect the results to assess the accuracy using the dynamic 3D visualization environment.
Am I able to create different classifiers for different cell populations?
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.
Will Stereo Investigator AI provide the estimated cell totals and coefficients of error?
Yes, the results will be computed using established stereological formulas.
Testimonials
"I rarely have encountered a company so committed to support and troubleshooting as MBF."
"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."
"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."
"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."
"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."
"MBF provides excellent technical support and helps you to find the best technical tools for your research challenges on morphometry."
Robust Professional Support
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:
- Forums
We have over 25 active forums where open discussions take place.
>> Learn More - On-Site/Training
We’ve conducted over 750 remote software installations.
>> Learn More - Webinars
We’ve created over 55 webinars that demonstrate our products & their uses.
>> Learn More
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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!
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