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AcqKnowledge 4.3 Features Update Released – watch tutorials now!

New Features AcqKnowledge

AcqKnowledge is an interactive, intuitive program that lets you instantly view, measure, transform, replay and analyze data. Perform complex data acquisition, stimulation, triggering and analyses using simple pull-down menus and dialogs—no need to learn a programming language or new protocol. Online analysis settings, filters, and transformations provide real-time feedback, or you can choose from a wide variety of off-line analysis tools. Multiple display options are available during and after acquisition—just click on an icon to flip between Chart, Scope, X/Y, Overlapped segments, Histogram, or FFT.

AcqKnowledge is used by thousands of labs around the world and has been cited in thousands of peer reviewed publications. It runs on both the latest Windows and Mac operating systems to provide a phenomenal data acquisition and analysis platform. AcqKnowledge software is included with MP150, MP36R, and B-Alert Research Systems…this upgrade to AcqKnowledge 4.3 adds the newest features and user interface enhancements for your data acquistion and analyis needs.

Watch NowWatch AcqKnowledge Tutorials Screencasts to learn more now.

New Features and Enhancements Increase the Power & Flexibility of AcqKnowledge!

NEW in AcqKnowledge 4.3…

Click here to upgrade today – UPGACQ and here for an overview of AcqKnowledge 4.3 New Features.

AcqKnowledge 4.2 users—if AcqKnowledge 4.2 was delivered October 15, 2012 or after this is a free upgrade – contact support@biopac.com

AcqKnowledge 4.3 was released January 15, 2013.

Spotlight On
free BIOPAC webinar

fNIRS Data Analysis

In this fNIRS training, you will see a typical analysis workflow for fNIRS data in experiments featuring both event-based and continuous stimulation. Learn about a powerful yet easy-to-use software package with both a graphical user interface and scripting capability (for automation).

What You Will Learn:
• Preparing data for analysis
• Signal conditioning, noise removal, and managing artifacts
• Best practices for visualizing recorded data
• Block analysis using event markers and/or time
• Further temporal and spatial processing of data, including cell-by-cell processing
• Automation of analysis procedures
• Performing common statistical comparisons (t-test, ANOVA)
• Spatial visualization
LIVE Webinar Aug 25th 8am PT/11am ET

Register Now
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