"Since we purchased our system four years ago, 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, School of Medicine"Using Neurolucida, we were able to collect, store, and analyze large amounts of data with more precision and accuracy than would have been possible without the digital interface. The software allowed us to trace dendrites, get precise thickness measurements, and categorize spine types easily during tracing. The built-in Sholl analysis and spine analysis tools resulted in quick quantification of all the measurements that would have taken hours to achieve without Neurolucida. "Tara Chowdhury
A graduate student working in Dr. Aoki's lab, New York University."MBF Bioscience was highly responsive and innovative in helping me achieve my research goals. I wanted to analyze extremely large virtual histology images in Neurolucida that were originally created using the Aperio and Hamamatsu Nanozoomer image file formats. MBF initiated the dialog with each company and was able to add the support. They further modified Neurolucida to meet the needs of the unique problems and benefits associated with virtual images. Great company to work with."Dr. Harvey J. Karten
Professor of Neurosciences and Psychiatry at UCSD School of Medicine"The Neurolucida System is very useful for doing quantitative analysis of neuronal morphology. Multiple parameters extracted by using this quantitative analysis program represent the intrinsic features of neurons. For example, axonal segment lengths, maximum branch angles and bouton density usually stay consistent for a neuron type although the general axonal and dendritic clusters may vary significantly according to the locations of the neuron type. When combined with multiple-neuron patch clamp recording, the quantitative morphological analysis has served as an essential step to enable us to successfully carry out the following research. We have been able to reveal the organizing principles of inhibitory networks (Gupta et al., 2000); define and systematically study a new subclass of basket cell – nest basket cell (Wang et al., 2002); systematically study Martinotti cells in anatomy, electrophysiology and synaptology (Wang et al., 2004); discover glutamatergic differential innervation of different target neurons by single PCs (Markram et al., 1998) and anatomical principles for differential glutamatergic innervation based on a large number of reconstructed connections (Wang et al., 1999). In addition, we have been able to reveal cellular, synaptic and network features of the layer 5 pyramidal microcircuitry (Wang et al., 2006). Furthermore, a unique reconstruction data base of over ten thousand neurons and hundreds of synaptic connections has been developed, which will be essential to put the neuronal microcircuitry together with the biologically realistic computer simulations in the Human Brain Project and Blue Brain Project."Dr. Yun Wang, Ph. D
Tufts Medical Center"We have used Neurolucida in many of our research projects. Most recently, we used this software to reconstruct and analyze the structure of pyramidal neurons in the primary visual cortex versus the dorsolateral prefrontal cortex of rhesus monkeys, as described in Amatrudo, Weaver et al. 2012. Our ongoing studies continue to benefit enormously from the AutoNeuron, AutoSpine and AutoSynapse modules of Neurolucida, developed by MBF."Dr. Jennifer Luebke, Ph. D
Boston University"I'm a huge fan Neurolucida's cell tracing and auto-detection features, which greatly assisted me in characterizing the morphology of abnormal neurons. Neurolucida is easily learned, intuitive, and was clearly designed by scientists."Michael Hester, Graduate Student
University of Cincinnati"We have been tracing dendrites for almost 30 years, using a variety of home-grown and commercial systems. We have used Neurolucida for almost 15 of those years now, and it is by far the most powerful, reliable, flexible, and easy to learn and use system of all that we’ve worked with. Neurolucida is clearly the product of people who thoroughly understand and appreciate quantitative neuroanatomy. This system has been absolutely indispensable to our research, resulting in over 25 publications. I can’t imagine our science without Neurolucida! Furthermore, the support provided by MBF has been simply outstanding, including program modifications, hardware support and development, troubleshooting, you name it - and always provided quickly, cheerfully, and knowledgeably. Nobody does it better!"Dale Sengelaub, Ph. D.
"Neurolucida is clearly the best in the field - reliable, accurate, and very importantly, easy and intuitive to use. I would not try any other system."
Jeffrey Kordower, Ph.D.
Rush Presbyterian Medical Center
"I have been using Neurolucida for over 20 years now. It sets the standard for what a tracing program should be able to do, and the ease of use has continually increased over the years. I have undergraduates using the program within a week. Moreover, the support MBF Bioscience provides is unmatched--they are the best."
Bob Jacobs, Ph.D.
"I have also been using Neurolucida for over 20 years with over 50 publications that have relied at least in part on the software. The product is marvelous and the support is the best of any software product I own. The work we do would be next to impossible without Neurolucida. The software is so intuitive that even high school students can do basic tracing almost immediately."
Ruth Stornetta, Ph.D.
University of Virginia
"I have been using the Neurolucida and Stereo Investigator software from MicroBrightField for the last 5 years, and this software has become an essential part of my research program. Whether it is 3 dimensional reconstruction, counting particular particles or mapping the developing and adult vascular, these programs are a scientific must. I personally have been able to push my research in ways that would otherwise not have been possible. Furthermore, the ability to quantitate and detect subtle differences is and will continue to be critical to my scientific program. I would highly recommend these companion programs to any research scientist."
Sunder Sims-Lucas, Ph.D.
Columbus Children’s Research Institute
"Our system worked almost every day for the last eight years with no major failure (we published more than 15 papers using Neurolucida). A terrific machine!"
Ferdinando Rossi, M.D., Ph.D.
Rita Levi Montalcini Center for Brain Repair, University of Turin
"Our research group has been using Neurolucida to trace epidermal nerve fibers in skin biopsies for at least 15 years. The software is not only great at tracing nerve fibers for counts, length and branch points but as it keeps track of nerve coordinates you can learn about distribution; extremely valuable data especially very early in disease states where nerve fiber counts may appear normal but the distribution of fibers is usually not normal."
Mona Selim, Research Associate
University of Minnesota
"AutoNeuron is the future of quantitative neuromorphology. I am particularly excited about AutoNeuron's interactive function because it will allow for much more efficient tracing of Golgi stained neurons, which are notoriously difficult to quantify. Cajal would be proud!"
Bob Jacobs, Ph.D
"I am amazed at the speed and accuracy of AutoNeuron. The automatic tracing program is intuitive and easy to use."
Gwen Wendelschafer-Crabb, Ph.D.
University of Minnesota
"I was able to create excellent 3D maps using the Solid Modeling module of Neurolucida. Without your expert advice, I'm not sure our poster would have been ready for presentation."
Susan Lantz, Biologist
National Center for Toxicological Research
"The Auto Neuron module is very impressive in its design to 'follow' nerve fibers; we have been using it for almost 8 years. We use it to successfully trace complex nerve networks, for example those found around sweat glands in the skin."
Mona Selim, Research Associate
University of Minnesota
"We are enjoying using your fantastic software and it is making a difference to our work."
Andrew Randall, PhD
Professor in Neurophysiology
University of Exeter Medical School