Researchers cited MBF systems in 27 papers between 3/20/2017 and 3/30/2017

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Abe, C., Inoue, T., Inglis, M. A., Viar, K. E., Huang, L., Ye, H., . . . Guyenet, P. G. (2017). C1 neurons mediate a stress-induced anti-inflammatory reflex in mice. Nature Neuroscience, advance online publication. doi: 10.1038/nn.4526

Caldwell, A. S. L., Edwards, M. C., Desai, R., Jimenez, M., Gilchrist, R. B., Handelsman, D. J., & Walters, K. A. (2017). Neuroendocrine androgen action is a key extraovarian mediator in the development of polycystic ovary syndrome. Proceedings of the National Academy of Sciences. doi: 10.1073/pnas.1616467114.

Castro-Hernández, J., Adlard, P. A., & Finkelstein, D. I. (2017). Pramipexole restores depressed transmission in the ventral hippocampus following MPTP-lesion. Scientific Reports, 7, 44426. doi: 10.1038/srep44426.

Dawes, W. J., Zhang, X., Fancy, S. P., Rowitch, D., & Marino, S. (2017). Moderate-Grade Germinal Matrix Haemorrhage Activates Cell Division in the Neonatal Mouse Subventricular Zone. Developmental Neuroscience.

Drobyshevsky, A., & Quinlan, K. A. (2017). Spinal cord injury in hypertonic newborns after antenatal hypoxia-ischemia in a rabbit model of cerebral palsy. Experimental Neurology, 293, 13-26. doi:

El Massri, N., Lemgruber, A. P., Rowe, I. J., Moro, C., Torres, N., Reinhart, F., . . . Mitrofanis, J. (2017). Photobiomodulation-induced changes in a monkey model of Parkinson’s disease: changes in tyrosine hydroxylase cells and GDNF expression in the striatum. Experimental Brain Research, 1-14. doi: 10.1007/s00221-017-4937-0.

Hühner, L., Rilka, J., Gilsbach, R., Zhou, X., Machado, V., & Spittau, B. (2017). Interleukin-4 Protects Dopaminergic Neurons In vitro but Is Dispensable for MPTP-Induced Neurodegeneration In vivo. Frontiers in Molecular Neuroscience, 10(62). doi: 10.3389/fnmol.2017.00062.

Meng, L., Huang, T., Sun, C., Hill, D. L., & Krimm, R. (2017). BDNF is required for taste axon regeneration following unilateral chorda tympani nerve section. Experimental Neurology, 293, 27-42. doi:

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A complete guide to imaging and analyzing spines and neurons with Neurolucida 360

Following a well-designed protocol is essential to achieving accurate and consistent results in scientific research. Now, scientists using Neurolucida 360 for dendritic spine and neuron analysis can follow a published set of guidelines to ensure optimal confocal data series for proper dendritic spine quantification and neuron reconstruction. The paper, written by MBF Bioscience scientists and researchers from the Icahn School of Medicine at Mount Sinai in New York, was published in Current Protocols in Neuroscience.

The four protocols describe best practices for imaging and analyzing dendritic spines and entire neurons. Clearly laid out procedures specify necessary materials, image acquisition techniques, and analysis procedures with Neurolucida 360.

Imaging technique is crucial to obtaining unbiased, reproducible results. Clear, crisp images captured with an appropriate z-interval will make analysis with Neurolucida 360 easier and more accurate. Throughout the paper, the authors emphasize the importance of image scaling parameters and unbiased sampling for achieving repeatable results. They also discuss the benefits of correcting optical distortion, especially in the Z-plane, with deconvolution to acquire clear images – a process critical to getting the most accurate representation of dendrites and spines.

Dendritic spine analysis is traditionally performed through tedious, time-consuming manual techniques. According to the paper, this has spawned a growing interest in a more efficient solution for spine quantification and morphological analysis like the one Neurolucida 360 provides. A software platform for automatic neuron reconstruction and spine detection in a 3D environment, Neurolucida 360 offers a variety of benefits, including:


  • Fast and accurate spine detection and neuron reconstruction
  • Accurate spine classification and length quantification using a five-point segment that more accurately models the spine backbone.
  • 3 user-guided and automatic algorithms to accurately model neurons visualized with multiple methodologies and imaging techniques.
  • A large number of metrics, including volume, length, and surface area.


“We believe that the new quantitative software package, Neurolucida 360, provides the neuroscience research community with the ability to perform higher throughput automated 3D quantitative light microscopy spine analysis under standardized conditions to accelerate the characterization of dendritic spines with greater objectivity and reliability,” (Dickstein, et al. 2016)

The full paper can be found here.

An infographic quickly outlines Protocol 1: Imaging of fluorescently labeled dendritic segments. Use this as a quick reference tool in your lab (right-click on it to save as an image):

Dickstein, D.L., Dickstein, D.R., Janssen, W.G.M., Hof, P.R., Glaser, J.R., Rodriguez, A., O’Connor, N., Angstman, P., and Tappan, S.J. 2016. Automatic dendritic spine quantification from confocal data with Neurolucida 360. Curr. Protoc. Neurosci. 77:1.27.1-1.27.21. doi: 10.1002/cpns.16

Researchers cited MBF systems in 14 papers between 1/20/2017 and 1/27/2017

Stereo Investigator: journal images sm

Doerr, J., Schwarz, M. K., Wiedermann, D., Leinhaas, A., Jakobs, A., Schloen, F., . . . Brüstle, O. (2017). Whole-brain 3D mapping of human neural transplant innervation. Nature Communications, 8, 14162. doi: 10.1038/ncomms14162

Fields, J. A., Metcalf, J., Overk, C., Adame, A., Spencer, B., Wrasidlo, W., . . . Masliah, E. (2017). The anticancer drug sunitinib promotes autophagyand protects from neurotoxicity in an HIV-1 Tat model of neurodegeneration. Journal of Neurovirology, 1-14. doi: 10.1007/s13365-016-0502-z.

Haidar, M., Guèvremont, G., Zhang, C., Bathgate, R. A. D., Timofeeva, E., Smith, C. M., & Gundlach, A. L. (2017). Relaxin-3 Inputs Target Hippocampal Interneurons and Deletion of Hilar Relaxin-3 Receptors in ‘Floxed-RXFP3′ Mice Impairs Spatial Memory. Hippocampus, n/a-n/a. doi: 10.1002/hipo.22709.

Kelly, S. C., He, B., Perez, S. E., Ginsberg, S. D., Mufson, E. J., & Counts, S. E. (2017). Locus coeruleus cellular and molecular pathology during the progression of Alzheimer’s disease. Acta Neuropathologica Communications, 5(1), 8. doi: 10.1186/s40478-017-0411-2.

Shen, X.-L., Song, N., Du, X.-X., Li, Y., Xie, J.-X., & Jiang, H. (2017). Nesfatin-1 protects dopaminergic neurons against MPP+/MPTP-induced neurotoxicity through the C-Raf–ERK1/2-dependent anti-apoptotic pathway. Scientific Reports, 7, 40961. doi: 10.1038/srep40961

Turner, R. C., Naser, Z. J., Lucke-Wold, B. P., Logsdon, A. F., Vangilder, R. L., Matsumoto, R. R., . . . Rosen, C. L. (2017). Single low-dose lipopolysaccharide preconditioning: neuroprotective against axonal injury and modulates glial cells. [Lipopolysaccharide preconditioning, oncostatin M receptor, diffuse axonal injury, gliosis, neuroprotection]. Neuroimmunology and Neuroinflammation, 4(1), 6-15.

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Neurolucida 360 v2.7: A minor release with major new features

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The 3 algorithms in Neurolucida 360 were used in combination
to create a smooth, accurate reconstruction

Minor releases typically don’t include new features, but Neurolucida 360 isn’t an ordinary piece of software. Neurolucida 360 v2.7 has many new features and improvements including:

  • A new automatic tracing algorithm – Rayburst Crawl
  • Capture videos of your rotating neuron reconstructions for presentations and publications
  • New backbone length analysis for dendritic spines
  • Improved handling of images exceeding 10GB

With the addition of Rayburst Crawl, Neurolucida 360 now has 3 different algorithms for automatic neuron reconstruction. Why 3 algorithms? To give you the power to choose the one that works best with your images. Labeling specificity, staining intensity, and image signal-to-noise can vary widely within a specimen – making it impossible for a single tracing algorithm to work optimally in all situations.

If you want more control over your neuron reconstructions, the same 3 algorithms can be used in user-guided mode. You follow a dendritic branch or axon with your mouse cursor and the algorithm finds the center and thickness of the process. It combines the unrivaled human ability to identify and segment objects with the speed of a computer.

Try it for yourself.

Request a free trial to see the algorithms in action

Or, if you are a customer with an up to date support subscription, download version 2.7