Neurolucida 360: The leading image analysis software for automatic 3D neuron tracing and reconstruction and quantitative morphology
Neurolucida 360 is the most trusted software for comprehensive neuron tracing and reconstruction. Built by neuroscientists for neuroscientists, Neurolucida 360 is equipped with powerful automated algorithms for detection of neuronal structures present in 2D and 3D microscopy image data.
With built-in workflows, an intuitive user-interface, and interactive 3D environment, Neurolucida 360 makes it easy to reconstruct somas, axons, dendrites, varicosities, spines, and synapses.
Paired with the companion software, Neurolucida Explorer, you can quickly and effectively analyze the morphology of subcellular structures, whole cells, or complex connective networks – from any species.
Neurolucida 360 supports many types of histological preparation techniques and microscopy modalities, such as:
- Immunofluorescence
- Golgi-Cox
- AAVs
- Retrograde or anterograde filled cells
- Immunohistochemistry
- Brightfield
- Widefield fluorescence
- Confocal
- Light sheet
- 2-Photon, Multi-Photon
- Whole brain or organ
- Cleared tissue
- Sectioned tissue
- Cell cultures
- Expanded tissue
Neurolucida 360 has been developed with support from the National Institute of Mental Health (NIMH)
Ultra is here! A 3D automatic vessel tracing module for thorough exploration of neuro-vascular environments.
Recommended Hardware Requirements
Neurolucida 360 is a powerful software that can work with a wide range of image data of vastly different levels of size and complexity. Because of its flexibility, our recommendations for system configurations vary to balance the affordability of lower computing power for smaller data sets to more expensive high-end workstations for large, multi-channel data.
Please contact us to consult with our technical specialists for a more precise recommendation specific to your data needs.
64-bit Windows 11 operating system |
CPU with 8 cores (16 threads) or more. More cores improve performance when using large data sets (>1 GB). |
Solid state hard drive(s). Preferably, non-volatile memory express (NVMe) drives. |
64 GB of system memory or more. More memory is better for large data sets, especially for image handling and reconstruction in the 3D environment. |
Graphics card with 8 GB memory or more. Most graphics cards from NVIDIA and AMD have been tested with MBF Bioscience software. |
Minimum Hardware Requirements |
64-bit Windows 10 operating system |
8 core processor (16 threads) |
32 GB memory |
Graphics card with 6 GB 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: |
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- Increase system memory to at least 128 GB. More memory improves performance when using large data sets
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- Replace hard disk drives (HDDs) with solid-state drives (SSDs), preferably non-volatile memory express (NVMe) drives
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- If you're working with 3D images and graphics, upgrade graphics card (GPU) to one with at least 8-12 GB memory
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From Proteins to Dendritic Spines: Neurolucida 360 Plays a Crucial Role in Advancing Neuroscience
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Blue Brain scientists develop pyramidal cell classification system using neurons reconstructed with Neurolucida 360
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Curcumin Lowers Neuroinflammation in Mouse Model
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Researchers Identify Potential Treatment for Patients at Risk for Alzheimer’s Disease
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MBF Bioscience research team contributes novel dendritic spine analysis in study published in Science
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NeuroMorpho.Org Releases Nearly 10,000 New Neuron Reconstructions and Neurolucida leads the way
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Visit our blog to read more case studies
Download Neurolucida 360 product sheet here.
Version 2024.2.1 (September 2024)
New Features and Enhancements
- New Puncta-detection user interface improves and expands capabilities for specifying puncta detection settings:
- Detect puncta based on proximity to other structures, such as trees, spines, and varicosities using rule sets
- Employ powerful And/Or criteria in your rule sets to find specific puncta easily
- Save your settings and reuse your puncta-detection criteria for multiple images, including in the batch pipeline for processing entire directories of image data
- Measure Intensity export will now report the centroid coordinate of any puncta
- You can now enable or disable the detection of spines and varicosities in the same location
- New ability to detect somas in the same location in different color channels
- The typical process width setting is now available in the automatic tracing setup
- New image filters added to the batch process pipeline:
- ExM image filter includes three model options to use to optimize modeling of your expansion-microscopy images
- Tone Mapping image filter to reveal details in both bright and dim regions of your image
- The 3D Environment has an added option to eliminate the display of edge artifacts at the surface of 3D volumes
- Automatic stitching of overlapping fields of view in the Montage tool is now available to optimize the visual information of compiled image montages
- Improvements to the image support in the Measure Intensity tool
- Image support for the .czi format has been improved
- Slide scans from MBF Bioscience acquisition software can now be compiled
- Improvements to the movie creation tool:
- You can now generate movies at high resolution for large data sets
- Use the image slice and partial projection views during movies to showcase important information
- Simple drag and drop to open .xml movie files
See a full list of new features here
An AI-Extended Solution for Performing Integrated 3D Neuro Microstructure and Nanostructure Analysis of Expansion Microscopy Data