Introducing Offline Sorter V4

Offline Sorter™ (OFS) V4 is one of the most respected and widely used neural signal spike sorting software solutions in the world, developed by the American company Plexon. This software enables neuroscience researchers and neuroscientists to accurately classify and analyze neural signals recorded from single electrodes, stereotrodes, and tetrodes.

Version V4 features new and advanced algorithms such as Overlapping Waveform Analysis, Signal-to-Noise Ratio (SNR) calculation, high-pass filtering, and digital referencing. This software can read data files from over 15 different companies including Plexon, NeuroExplorer, Alpha Omega, Blackrock Microsystems, Neuralynx, and MultiChannel Systems.

Version V4 is also available as a 64-bit application, accelerating the processing of large data files. This software has been used in over 1,700 scientific papers as part of research methodologies.

Main Features of Offline Sorter V4

This software offers a wide range of spike sorting and neural signal analysis capabilities to users, the most important of which include:

Spike Sorting Methods

• Manual Methods: Box, Line, Band, Waveform Crossing, and Contour
• Semi-Automatic Methods: Template Matching, K-Means, and Standard E-M
• Automatic Methods: Valley Seeking and T-Distribution Expectation Maximization (E-M)
• Tetrode and Stereotrode Support: Extract and sort signals from multiple electrodes

Waveform Analysis

• Overlapping Waveform Analysis: Recover waveforms lost due to signal overlap
• 2D and 3D Waveform Display: Using Principal Component Analysis (PCA) and over 20 other features such as Peak, Valley, and half-amplitude width
• Various Views: Waveform View, Timeline View, Cluster View, Raster View, and Cross-Correlogram
• Template Matching: Advanced template matching algorithm

Continuous Data Processing

• Spike Detection Methods: Voltage Threshold, Signal Energy, and Nonlinear Energy
• Low-Pass and High-Pass Filtering: Apply filters to continuous channels
• Digital Referencing: Automatically remove noise using Common Average Reference (CAR) or Common Median Reference (CMR)
• Signal-to-Noise Ratio (SNR) Calculation: Calculate SNR and display it as a function of threshold

New Features in Version V4

• Simultaneous Loading of Multiple PL2 Files: Load multiple files simultaneously
• New Sorting Quality Metrics: L-Ratio and Isolation Distance
• Band and Line Sorting Methods Support: New sorting methods
• Time Segments: Name and manipulate time sections and save as NeuroExplorer file
• Combined Display Capability: Simultaneous display of continuous data and Spikes in Timeline view
• Support for 702 Units per Channel: In newer versions V4.7.0

Output & Integration

• Export to MATLAB, Excel, and NeuroExplorer: Export data to various formats
• Support for .PL2, .PLX, .NEX, .NEV, .NS5 and many other file types
• Export Sorting Summary to PowerPoint: Present sorting results
• Batch Processing: Automate batch commands for overnight data processing

System Requirements

Source: Plexon

Note: Version V4 does not run on Windows XP.

Benefits of Using Offline Sorter V4

• ✅ Over 1,700 scientific papers have used this software
• ✅ Support for data files from over 15 different companies
• ✅ Manual, semi-automatic, and automatic sorting methods
• ✅ Overlapping waveform analysis for recovering lost signals
• ✅ Digital referencing for automatic noise removal
• ✅ 64-bit version for faster large file processing
• ✅ Support for 702 units per channel in newer versions
• ✅ Batch Processing for overnight automated processing
• ✅ Export to MATLAB, Excel, NeuroExplorer, and PowerPoint

Cracked Version of Offline Sorter V4

We have the full cracked version of Offline Sorter V4 software available. This version:

• ✔️ Fully activated with no license required
• ✔️ Includes all features of the original version
• ✔️ No limitations in functionality
• ✔️ Offline and permanent activation

Contact Us

If you are interested in receiving the cracked version of Offline Sorter V4, please contact us through one of the following channels: