Biolucida is a hub for 2D and 3D big image data. It stores all of your 2D and 3D image data and metadata in a secure, permanent location accessible via the web. Images can be acquired with slide scanners or microscope systems, and can be any size – Biolucida is built to store, organize, and serve huge image collections. The possibilities are endless with Biolucida: share images with collaborators, include large image sets from published papers, contribute standardized data to public image data repositories, or analyze images on any computer with Neurolucida 360, Stereo Investigator, BrainMaker. You will always have control over your images and access to them.
Biolucida allows researchers to share and standardize data via an intuitive yet powerful web interface. Create and share collections of annotated image data and control access with a few clicks. Content from previous research can also be included via image inclusion or simple HTML weblinks.
Biolucida easily integrates with an institute's IT architecture using secure and current standard web technologies. Biolucida utilizes extensive client and server optimizations to ensure the fastest image access experience, even at peak internet usage times.
System Requirements for Biolucida Viewer
At least 6 GB
System Requirements for Biolucida Server
minimum 4-cores for 2D/3D whole slide images
minimum 8GB with connectivity of 1 Gbps or great
Biolucida exists as a standard, easily maintained WAMP/LAMP stack and proprietary C++ derived software.
American Association of Anatomists Launches Virtual Microscopy Database powered by Biolucida
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Medical Schools Take Learning Online with Biolucida During COVID-19
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Castro, A., Becerra, M., Jesús Manso, M., & Anadón, R. (2015). Neuronal organization of the brain in the adult amphioxus (Branchiostoma lanceolatum): A study with acetylated tubulin immunohistochemistry. Journal of Comparative Neurology, n/a-n/a. doi: 10.1002/cne.23785. http://dx.doi.org/10.1002/cne.23785
Chen, C.-C., Winkler, C. M., Pfenning, A. R., & Jarvis, E. D. (2013). Molecular profiling of the developing avian telencephalon: Regional timing and brain subdivision continuities. Journal of Comparative Neurology, 521(16), 3666-3701. doi: 10.1002/cne.23406. http://dx.doi.org/10.1002/cne.23406
Condro, M. C., Matynia, A., Foster, N. N., Ago, Y., Rajbhandari, A. K., Jayaram, B., . . . Waschek, J. A. (2016). High-resolution characterization of a PACAP-EGFP transgenic mouse model for mapping PACAP-expressing neurons. Journal of Comparative Neurology, n/a-n/a. doi: 10.1002/cne.24035. http://dx.doi.org/10.1002/cne.24035
Daniel, H., Ester, D., P., U. J. F., L., J. A., Timothy, S.-G., A., D. G., . . . Scott, K. J. (2018). A 3D MRI-based atlas of a lizard brain. Journal of Comparative Neurology, 0(ja). doi: doi:10.1002/cne.24480. https://onlinelibrary.wiley.com/doi/abs/10.1002/cne.24480
Gerfen, Charles R., Paletzki, R., & Heintz, N. (2013). GENSAT BAC Cre-Recombinase Driver Lines to Study the Functional Organization of Cerebral Cortical and Basal Ganglia Circuits. Neuron, 80(6), 1368-1383. doi. http://linkinghub.elsevier.com/retrieve/pii/S0896627313009197
Haeussner, E., Aschauer, B., Burton, G. J., Huppertz, B., Edler von Koch, F., Müller-Starck, J., . . . Frank, H.-G. (2015). Does 2D-Histologic identification of villous types of human placentas at birth enable sensitive and reliable interpretation of 3D structure? Placenta. doi: http://dx.doi.org/10.1016/j.placenta.2015.10.003. http://www.sciencedirect.com/science/article/pii/S0143400415300631
Hannibal, J., Christiansen, A. T., Heegaard, S., Fahrenkrug, J., & Kiilgaard, J. F. (2017). Melanopsin expressing human retinal ganglion cells: Subtypes, distribution and intraretinal connectivity. Journal of Comparative Neurology, n/a-n/a. doi: 10.1002/cne.24181. http://dx.doi.org/10.1002/cne.24181
Hof, P. R. (2014). Passages 2014. Journal of Comparative Neurology, 522(1), 1-5. doi: 10.1002/cne.23474. http://dx.doi.org/10.1002/cne.23474
Hooks, B. M., Papale, A. E., Paletzki, R. F., Feroze, M. W., Eastwood, B. S., Couey, J. J., . . . Gerfen, C. R. (2018). Topographic precision in sensory and motor corticostriatal projections varies across cell type and cortical area. Nature Communications, 9(1), 3549. doi: 10.1038/s41467-018-05780-7. https://doi.org/10.1038/s41467-018-05780-7
Iacono, D., Lee, P., Edlow, B. L., Gray, N., Fischl, B., Kenney, K., . . . Perl, D. P. (2019). Early-Onset Dementia in War Veterans: Brain Polypathology and Clinicopathologic Complexity. Journal of Neuropathology & Experimental Neurology. doi: 10.1093/jnen/nlz122. https://doi.org/10.1093/jnen/nlz122
Karten, H. J., Glaser, J. R., & Hof, P. R. (2013). An important landmark in scientific publishing. Journal of Comparative Neurology, 521(8), 1697-1698. doi: 10.1002/cne.23329. http://dx.doi.org/10.1002/cne.23329
Lipovich, L., Hou, Z.-c., Jia, H., Sinkler, C., McGowen, M., Sterner, K. N., . . . Wildman, D. E. (2015). High-throughput RNA sequencing reveals structural differences of orthologous brain-expressed genes between western lowland gorillas and humans. Journal of Comparative Neurology, n/a-n/a. doi: 10.1002/cne.23843. http://dx.doi.org/10.1002/cne.23843
O'Connor, N., Tappan, S., & Glaser, J. (2014). How to Prepare Neuroanatomical Image Data Current Protocols in Neuroscience (Vol. 69): John Wiley & Sons, Inc.
Ogilvie, R., Sawyer, R., Greenwold, M., Bao, W., & Thompson, J. (2014). Evolution of a cross-institutional asynchronous online 500 level college histology course with interactive lectures and virtual lab component (530.1). The FASEB Journal, 28(1 Supplement). doi. http://www.fasebj.org/content/28/1_Supplement/530.1.abstract
Pastrana, E. (2014). A genetic handle on brain circuits. Nature Methods, 11, 128. doi. http://www.nature.com/nmeth/journal/v11/n2/full/nmeth.2829.html
Sakano, H., Zorio, D. A. R., Wang, X., Ting, Y. S., Noble, W. S., MacCoss, M. J., . . . Wang, Y. (2017). Proteomic analyses of nucleus laminaris identified candidate targets of the fragile X mental retardation protein. Journal of Comparative Neurology, n/a-n/a. doi: 10.1002/cne.24281. http://dx.doi.org/10.1002/cne.24281
Samal, N., & Prakash, R. V. K. (2019). Randomized cross-over study and a qualitative analysis comparing virtual microscopy and light microscopy for learning undergraduate histopathology. Indian Journal of Pathology and Microbiology, 62(1), 84. doi.
Download our product sheet here.
More than 150,000 students have used Biolucida for Medical Education to study histology and histopathology
Biolucida’s utility is underscored by the number of references it receives in the worlds most important scientific publications.
Hooks, B. M., Papale, A. E., Paletzki, R. F., Feroze, M. W., Eastwood, B. S., Couey, J. J., . . . Gerfen, C. R.
"Topographic precision in sensory and motor corticostriatal projections varies across cell type and cortical area"View Publication
Gerfen, Charles R., Paletzki, R., & Heintz, N.
"GENSAT BAC Cre-Recombinase Driver Lines to Study the Functional Organization of Cerebral Cortical and Basal Ganglia Circuits"View Publication
Castro, A., Becerra, M., Jesús Manso, M., & Anadón, R.
"Neuronal organization of the brain in the adult amphioxus (Branchiostoma lanceolatum): A study with acetylated tubulin immunohistochemistry"View Publication
Chen, C.-C., Winkler, C. M., Pfenning, A. R., & Jarvis, E. D.
Molecular profiling of the developing avian telencephalon: Regional timing and brain subdivision continuitiesView Publication
Hannibal, J., Christiansen, A. T., Heegaard, S., Fahrenkrug, J., & Kiilgaard, J. F.
"Melanopsin expressing human retinal ganglion cells: Subtypes, distribution and intraretinal connectivity"View Publication
Sakano, H., Zorio, D. A. R., Wang, X., Ting, Y. S., Noble, W. S., MacCoss, M. J., . . . Wang, Y.
"Proteomic analyses of nucleus laminaris identified candidate targets of the fragile X mental retardation protein"View Publication
Condro, M. C., Matynia, A., Foster, N. N., Ago, Y., Rajbhandari, A. K., Jayaram, B., . . . Waschek, J. A.
"High-resolution characterization of a PACAP-EGFP transgenic mouse model for mapping PACAP-expressing neurons"View Publication
Biolucida consists of 3 parts: a server computer, Biolucida server software, and the Biolucida viewer. Together, the server computer and server software constitute a virtual central library where your slides are maintained and served. Biolucida can integrate into existing IT infrastructure, it can be set up in another location, or it can be hosted in the cloud with Amazon Web Services.
The Biolucida server software allows educators and students to navigate through large images quickly — there is no waiting for images to download. This
software runs behind the scenes and is not visible to users.
The viewer is the software application that instructors and students use to view, access, and share virtual slides. The viewer can run on any computer (PC or Mac) connected to the internet.
Biolucida efficiently serves very large virtual slides. A typical single image size is 10-50 gigabytes, but Biolucida can easily handle an image that exceeds of
The Biolucida viewer runs on Mac and PC, and the Biolucida server software runs on Windows and Linux. The Biolucida web browser viewer also allows viewing
slides on mobile platforms such as iPads.
Yes, Biolucida supports images acquired with slide scanners from companies such as Huron, Aperio, Leica, Olympus, Zeiss and Hamamatsu. It also supports
images and image stacks acquired with confocal microscopes from companies such as Zeiss, Olympus, and Leica.
Yes, Biolucida lets you easily compare multiple images simultaneously.
Yes, Biolucida supports 3D virtual slides and allows users to focus through image planes just like a microscope.
"It was so helpful to have Biolucida already in place with the pandemic and move to online instruction. Everything worked so smoothly!"
"Biolucida is an amazing platform for using virtual histology in medical education that I have been using to aid my teaching practices for years. The medical students have also shown great interest in your virtual slides and that has helped them achieve better results - findings that I have also published."
"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."
We offer a free expert demonstration of Biolucida. 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.