OMNIC FTIR Software Training Videos | Thermo Fisher Scientific

Introduction to OMNIC

The arrangement of the various software parts is introduced. This video prepares the student to view the other training videos in the series.

Understanding the ATR Experiment

Advantages and disadvantages of using the ATR sampling approach are discussed.

Working with the Cursor Tools

Extracting information through cursor interactions with spectral data is shown. Examples of how to use these tools with other functions are covered.

The Experiment Setup Interface

Overview of the experiment setup parameter window is covered. Navigating and understanding how experiment files are created.

Changing Data Point Spacing

The data point spacing in the spectrum is covered. Using the various approaches is discussed.

Processing Diffuse Reflection Spectra

Working with spectra collected using DRIFTS (diffuse reflection) accessory is described with viewing in the Kubleka – Munk scale for easier comparisons with library data.

Collecting a Spectrum

The steps to produce a simple infrared spectrum of a sample after it has been prepared and inserted into the FTIR are demonstrated.

Adjusting the Number of Scans in a Data Collection

Improving the quality of the spectrum collected with increasing scans, and the time required, are discussed.

Setting the Spectral Resolution

The effects of different resolution settings are shown and the need for correct resolution to meet the needs of the analysis is covered.

Setting the Final Format for a Data Collection

Understanding the various spectral formats available and when they should be used is shown.

Background Handling

Setting the optimum background refresh schedule and the benefits of the various options are shown.

Saving Collection Parameters

Saving all parameters quick retrieval is discussed. Using the Experiment menu in OMNIC is shown.

Understanding the Bench Tab

An introduction to the settings available on the Bench Tab in the Experiment setup window is covered.

Setting the Spectral Range

Understanding the correct spectral range for the optics selected is covered.

Setting Signal Gain for Best Results

Adjusting the signal gain for optimal results is covered.

Working with the Optical Velocity

Setting the speed of the moving mirror in the interferometer and consequences are covered.

Setting the System Aperture

Adjusting the optical aperture in the system for optimal spectral quality is covered.

Advanced Collection Parameters

Understanding advanced collection parameters and setting them to optimize the analytical results are covered.

Post Processing Spectral Data

Determining which corrections make spectral data better suited for analysis is demonstrated.

Scale Conversions

The various axis labels and proper use when displaying spectral data is covered.

Using the Baseline Correction Tool

The recommended procedure to correct spectral baselines is demonstrated.

Correcting for Atmospheric Contaminants

Using software corrections to remove water vapor and carbon dioxide peaks from the sample spectrum is covered.

Using the Spectral Subtraction Tool

The suggested best use of subtraction to perform "non-chemical" spectral separations as an aid in identification of mixtures is shown.

Setting up a Spectral Library Search

Setting the criteria to search spectral libraries to identify unknown material is shown.

Advanced Spectral Search Techniques

Applying regional search techniques to help identify unknown material in mixtures is shown.

Building a Custom Search Library

The procedure to create custom search libraries to address specific needs is detailed.

Using the Find Peaks Tool

The use of the peak labeling function in the OMNIC software is described.

Creating a Custom Report Template

Creating a custom template that generates reports containing all of the analytical information is shown.

Getting the Most from Reports and Notebooks

Generating analysis reports and archiving them for future reference and printing is demonstrated.

Quantitative Spectral Analysis

An introduction to the use of the Pallet tools to extract quantitative information from spectral data is covered.

Using the Statistical Spectra Function

The application of the Statistical Spectra tool in OMNIC is covered and its use in determining new information is discussed.

Specular Reflection and Kramers-Kronig Analysis

The application of the Kramers-Kronig Analysis on specular reflection data is covered.

Series, Part I

Setting up a Series collection is discussed. The correct time for the run and the interval is important.

Series, Part II

The data analysis after collection will lead to discovery of new information.

Introduction to OMNIC Macros

The Macro Editor is introduced describing the various parts and their use in creating and editing macros.

Creating a Simple Macro

Creation of a simple macro is demonstrated.

Understanding Macro Variables

The creation, conventions and use of macro variables is discussed.

Advanced Macro Programming (I)

Editing existing macros to expand their usefulness is shown. Advanced programming tools are demonstrated.

Working with the Log File

Using the Log File is covered, showing how to capture analytical information from spectral data for further use in the analysis.

Using Configuration Files

The use of configuration settings to customize the OMNIC software for specific uses is introduced. The overview of the capabilities and interface is shown.

Setting Options in OMNIC

Demonstrates how global options will appear, where files will be saved, and how spectral tools will operate when their defaults are set and saved for future use.

Customizing the OMNIC Menus

Menu modifications are demonstrated, as well as adding and removing commands to simplify the operation and make the software targeted to the analyses being performed.

Customizing the Icon Tool Bar

Adding, removing and rearranging the icon collection displayed on the tool bar is shown. Adding macros and other external programs for access in OMNIC is explained and demonstrated.

Enabling User Log On

Creating a list of approved users and unique configurations to address the optimum settings for each situation is covered. Adding password protection and managing data files are outlined.

Introduction to the TQ Analyst Software

A preliminary discussion for using the TQ Analyst software, menus and tabs is gone over in detail.

Choosing the Correct Quantitative Approach

Selecting the type of quantitative algorithm in the TQ Analyst software is explained to allow the best quantitative model to be achieved.

Selecting the Path-Length in a Calibration

Setting the correct path length for a calibration needs to be considered. The wrong setting can lead to poor results.

Creating a Simple Beer’s Law Model, Part I

Step by step construction of a simple Beer’s law model is outlined.

Creating a Simple Beer’s Law Model, Part II

The conclusion for creating a simple Beer’s law model from part I.

Create a Classic Least Squares Model, Part I

The creation of a classic least squares model is outlined in part I of this video.

Create a Classic Least Squares Model, Part II

The continuation of the classic least squares model from part I is discussed.

The SMLR Model

The SMLR modeling approach can be useful in evaluating a quantitative model that has limited data. Models that have small data sets can be created.

PLS – PCR Calibration Models

The details for building PLS or PCR models in the TQ Analyst software is discussed.

Quantitative Diagnostic Tools, Part I

The collection of diagnostic tools to evaluate quantitative models constructed from the TQ Analyst software is described. Evaluating the results to improve the models created is shown.

Qualitative Diagnostic Tools, Part II

A continued demonstration of the use and evaluation of available diagnostic tools.

Qualitative Approaches, Part I

Building and working with the qualitative approaches in the TQ Analyst software is covered.

Qualitative Approaches, Part II

A continuation of the discussion covering the qualitative analysis in the TQ Analyst software.

Thermo Scientific™ OMNIC™ FTIR Software Training Videos

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