Society for Neuroscience 2019
Visit us at Booth #873
October 19-23, 2019
The SfN conference only happens once a year, and like us, we know you’ll want to make the most of it. We look forward to showing you all the new developments we’ve made to our quantitative microscopy solutions for neuroscience. If you’ve always wanted one of our systems in your lab, this is a great opportunity to learn more about how our current systems and software can help you with your next breakthrough.
We invite you to visit our booth
- Get a demonstration of our latest advancements and discuss your research questions with our staff scientists
- Learn more about our complete solutions for neuroscience research
- Discuss options for upgrading your current MBF Bioscience system: Hardware, Software, Training, etc.
- Meet with our systems configuration consultants to learn about our complete turn-key systems
- See revolutionary new technology and new developments in quantitative neuroscience research
What you can see in our booth?
- Latest updates of Neurolucida 360, Neurolucida, Stereo Investigator
- Vesselucida 360 for automatic reconstruction and analysis of microvasculature
- Stereo Investigator for Cleared Tissue
- Stereo Investigator for Whole Slide Images
- WormLab for advanced worm tracking and comprehensive analysis
- NeuroInfo for automatic identification of brain anatomy in your sections
- BrainMaker for automatic generation of 3D whole brain image from 2D image data
- Biolucida for managing and sharing big image data
- SpineDynamics for automatic tracking and analysis of dendritic spine motility in high resolution repeated imaging experiment
- TissueMaker for automatic generation of entire 3D organ from serial sections
- Tissue Mapper an annotation and delineation tool for mapping tissue structures
- Cellairus for automatic stereology using artifical intellegence
- Fully integrated Neurolucida and Stereo Investigator brightfield microscope solutions for stereology and neuron tracing
- Fully integrated Neurolucida and Stereo Investigator multi-channel fluorescent and structured illumination solutions for imaging
- Vesselucida Microscope Edition reconstruct and analyze microvasculature networks
- ClearScope – revolutionary Light Sheet microscope
- Vesalius - high-speed, multi-channel, laser confocal scanner
- TissueScope - brightfield slide scanner for brain sections ranging from mouse to human
- WormLab imaging system with optogenetic and mechanosensation assays
Special Symposium: Machine Learning in Quantitative Stereology and Neurohistology
Date & Time: Saturday, October 19, 2019 6:30pm - 9:00pm
Location: McCormick Place, N227
Description: Quantifying CNS composition is critical for evaluating significant changes over time or after injury/treatment, but numbers are traditionally obtained by human observation. Machine learning makes it possible to train software to recognize and quantify cells of interest. Talks address automated image data set acquisition and analysis by machine learning-assisted image analysis and stereology.
About the Organizer:
Dr. Peterson serves as the President and Chief Scientific Officer of NeuroRenew, Inc. Dan received a Bachelor of Science in Psychobiology from the University of Southern California in 1984 and a Ph.D. in Anatomy from the University of Otago (New Zealand) in 1991. He subsequently trained as a Postdoctoral Fellow with Rusty Gage in the Department of Neurosciences at the University of California, San Diego.
In 2007, Dan became the founding Director of the Center for Stem Cell and Regenerative Medicine at Rosalind Franklin University of Medicine and Science. In addition to directing the Center for Stem Cell and Regenerative Medicine, Dan also directs the Laboratory for Neural Repair and Neurogenesis. He has over 70 scientific publications and has presented over 35 invited lectures at international symposia and universities since 1995. His research interests include understanding the regulation of neurogenesis in the aging brain and the use of neural stem cells and gene therapy in brain repair and cutaneous wound repair.