NeuroInfo enables whole brain investigation of circuits, neuronal populations, and biochemical marker expression using widely accepted brain atlases for anatomic reference. Visual and quantitative measurements from 2D and 3D brain images are characterized and visualized within brain region delineations from a standardized reference space. NeuroInfo supports a variety of brain imaging techniques including; whole and semi brain volumes from cleared tissue specimens, serial section series, MRI and micro-CT imagery, and even single serial section whole slide images. Advanced AI segmentation and registration methods provide accurate results that are standardized and repeatable. NeuroInfo streamlines sophisticated computational pipelines into a single, powerful application that can be used in laboratories of every size.
NeuroInfo performs brain-wide characterization of cell populations and biochemical marker expression, and generates quantitative analysis reports on these objects within individual brain regions. Brain volumes are registered to either the Allen Mouse Brain Atlas or the Waxholm Rat Atlas so that experimental measurements can be accumulated or compared in a standardized coordinate system across animals, cohorts, and laboratories. Advanced deep learning methods mean that you can get highly accurate data automatically, and no longer need to manually click cells or draw anatomic boundaries. NeuroInfo’s use of standardized brain atlases established by the scientific community means you can leverage the work of the expert neuroanatomists that created the atlases by aligning your experimental brains with their coordinate systems.
NeuroInfo was developed in collaboration with the Allen Institute for Brain Science.
|Recommended Hardware Requirements|
|64-bit Windows 10 operating system|
|8-core processor (16 threads)|
|Solid state drive(s)|
|64 GB of system memory|
|Graphics card with 8 GB texture memory or more: This is required for the 3D environment, but is optional for working only in 2D. Graphics cards from NVIDIA and AMD have been tested with MBF Bioscience software.|
|Minimum Hardware Requirements (not recommended)|
|64-bit Windows 10 operating system|
|4 core processor (8 threads)|
|16 GB memory|
|Graphics card with 2 GB texture memory or more: This is the minimum needed for the 3D environment, but is adequate for working only in 2D.|
|Computer-Hardware Upgrade Priorities|
|To upgrade your system for better performance with MBF Bioscience software, we suggest that you prioritize computer hardware upgrades as follows:|
|Increase system memory to a total of 64 GB|
|Replace hard disk drives (HDDs) with solid-state drives (SSDs), preferably non-volatile memory express (NVMe) drives|
|Increase system memory to a total of 96–128 GB|
|If you're working with solids/3D images, upgrade graphics card (GPU) to one with 8-12 GB texture memory|
|Upgrade to a processor with 14+ cores (28+ threads)|
|Increase system memory to a total of 128-256 GB|
|Upgrade to a processor with to 28+ cores (56+ threads)|
|Increase system memory to a total of 256–512 GB|
A GPS for the brain and so much more
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Boitet, M., H. Eun, et al. (2022). "Non-invasive In Vivo Brain Astrogenesis and Astrogliosis Quantification Using a Far-red E2-Crimson Transgenic Reporter Mouse." Molecular Neurobiology. https://doi.org/10.1007/s12035-022-02997-y
Xue, Y., Z. Gursky, et al. (2022). "Sustained glymphatic transport and impaired drainage to the nasal cavity observed in multiciliated cell ciliopathies with hydrocephalus." Fluids and Barriers of the CNS 19(1): 20. https://doi.org/10.1186/s12987-022-00319-x
Terstege, D. J., D. O. Oboh, et al. (2022). "FASTMAP: Open-Source Flexible Atlas Segmentation Tool for Multi-Area Processing of Biological Images." eneuro: ENEURO.0325-0321.2022. https://doi.org/10.1523/ENEURO.0325-21.2022
Eastwood, B. S., B. M. Hooks, et al. (2019). "Whole mouse brain reconstruction and registration to a reference atlas with standard histochemical processing of coronal sections." Journal of Comparative Neurology 527(13): 2170-2178. https://doi.org/10.1002/cne.24602
Gergues, M. M., K. J. Han, et al. (2020). "Circuit and molecular architecture of a ventral hippocampal network." Nature Neuroscience 23(11): 1444-1452. https://doi.org/10.1038/s41593-020-0705-8
Otomo, K., J. Perkins, et al. (2020). "In vivo patch-clamp recordings reveal distinct subthreshold signatures and threshold dynamics of midbrain dopamine neurons." Nature Communications 11(1): 6286. https://doi.org/10.1038/s41467-020-20041-2
Tappan, S. J., B. S. Eastwood, et al. (2019). "Automatic navigation system for the mouse brain." Journal of Comparative Neurology 527(13): 2200-2211. https://doi.org/10.1002/cne.24635
Ma, J., J. du Hoffmann, et al. (2021). "Divergent projections of the paraventricular nucleus of the thalamus mediate the selection of passive and active defensive behaviors." Nature Neuroscience 24(10): 1429-1440. https://doi.org/10.1038/s41593-021-00912-7
Eastwood, B. S., Hooks, B. M., Paletzki, R. F., O'Connor, N. J., Glaser, J. R., & Gerfen, C. R. (2019). Whole mouse brain reconstruction and registration to a reference atlas with standard histochemical processing of coronal sections. Journal of Comparative Neurology, 0(0). doi: 10.1002/cne.24602. https://onlinelibrary.wiley.com/doi/abs/10.1002/cne.24602
Naskar, S., Qi, J., Pereira, F., Gerfen, C. R., & Lee, S. (2021). Cell-type-specific recruitment of GABAergic interneurons in the primary somatosensory cortex by long-range inputs. Cell Reports, 34(8), 108774. doi: https://doi.org/10.1016/j.celrep.2021.108774. https://www.sciencedirect.com/science/article/pii/S2211124721000875
Tappan, S. J., Eastwood, B. S., O'connor, N., Wang, Q., Ng, L., Feng, D., . . . Schmitz, C. (2019). Automatic navigation system for the mouse brain. Journal of Comparative Neurology. doi. https://www.ncbi.nlm.nih.gov/pubmed/30635922
Download our product sheet here.
NeuroInfo is used across the globe by the most prestigious laboratories.
NeuroInfo’s utility is underscored by the number of references it receives in the worlds most important scientific publications. See examples below:
Naskar, S., Qi, J., Pereira, F., Gerfen, C. R., & Lee, S.
Cell-type-specific recruitment of GABAergic interneurons in the primary somatosensory cortex by long-range inputs. (2021) Cell Reports, 34(8), 108774.View Publication
Ma, J., J. du Hoffmann, et al.
Divergent projections of the paraventricular nucleus of the thalamus mediate the selection of passive and active defensive behaviors. Nature Neuroscience 24(10): 1429-1440View Publication
Otomo, K., J. Perkins, et al.
In vivo patch-clamp recordings reveal distinct subthreshold signatures and threshold dynamics of midbrain dopamine neurons." Nature Communications 11(1): 6286View Publication
Gergues, M. M., K. J. Han, et al.
Circuit and molecular architecture of a ventral hippocampal network." Nature Neuroscience 23(11): 1444-1452. https://doi.org/10.1038/s41593-020-0705-8View Publication
Terstege, D. J., D. O. Oboh, et al.
FASTMAP: Open-Source Flexible Atlas Segmentation Tool for Multi-Area Processing of Biological Images. eneuro: ENEURO.0325-0321.2022.View Publication
Xue, Y., Gursky, Z., Monte, B. et al.
Sustained glymphatic transport and impaired drainage to the nasal cavity observed in multiciliated cell ciliopathies with hydrocephalus. Fluids Barriers CNS 19, 20 (2022).View Publication
NeuroInfo will run on most PCs running Windows 10 or later and having at least 16GB of RAM and 4GB GPU RAM. NeuroInfo will take advantage of available computer resources, so larger data sets will benefit from having more cores and memory. We’d be happy to discuss your needs with you to ensure you have the optimal computer configuration.
Yes. NeuroInfo supports multiple software seats running under one license.
NeuroInfo can register mouse and rat sections cut in coronal, sagittal, or transverse orientations.
Yes! The innovative registration algorithms in NeuroInfo account for cut angles that deviate significantly from canonical orientations.
NeuroInfo can register sections from a variety of stains and imaging methods and cytoarchitectural indicators, and has been tested with fluorescence microscopy (NeuroTrace and DAPI), brightfield microscopy (multiple structural visualizing stains), and MRI.
NeuroInfo utilizes both linear and non-linear methods that can accommodate a damaged or warped sections while registering sections to an Atlas.
"I rarely have encountered a company so committed to support and troubleshooting as MBF."
"The NeuroInfo software is so good. It compensates for students’ inexperience. They always lay down sections in the wrong order and have trouble recognizing the anatomy. This solves that problem."
"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."
We offer both a free demonstration and a free trial copy of NeuroInfo. During your demonstration you’ll also have the opportunity to talk to us about your hardware, software, or experimental design questions with our team of Ph.D. neuroscientists and experts in microscopy, neuron tracing, and image processing.
Free 14-day trial copy: Download of a copy of NeuroInfo and use the tips and suggestions from the free evaluation to find out how easy it is to use and how quickly you can obtain useful data.
Generates full-resolution 3D whole brain reconstructions from 2D whole slide images.
Automatically align serial sections and visualize an entire 3D organ.
A fast, and versatile whole slide scanner for quantitative analysis.
Makes it easy to view, analyze, and share big image data from many sources.