The StellarPro software has application modules built-in for Radiometry, Colorimetry, Chemical Absorption/Kinetics, Chemometrics model building and runtime, Spectral ID, Raman, Multichannel, Haze, & Thin-Film.

Radiometry     

The Radiometer app offers comprehensive and detailed analysis for light sources, encompassing various aspects such as light power, quality, color, and temperature. It serves as a valuable tool for examining and understanding the characteristics of different light sources in a thorough manner.
Spectroscopy Knowledge Base for more info

Colorimetry     

The app is specifically designed to analyze and evaluate the color of light reflected by objects such as solids, liquids, and powders.  It employs a range of color analysis metrics and algorithms to provide comprehensive insights into the color properties of the sample.
Spectroscopy Knowledge Base for more info

Absorbance/Kinetics   

The app utilizes the absorbance of light at a specific wavelength to calculate the concentration of a chemical compound. It establishes a linear relationship between absorbance and concentration through calibration, enabling accurate concentration determination.
Spectroscopy Knowledge Base for more info

Chemometrics     

The Chemwiz ADK App utilizes spectrometric absorbance data to predict and classify the composition of a sample using advanced techniques such as Partial Least Squares (PLS) and Nearest Neighbor for classification. It employs multivariate analysis methods to analyze the complex absorbance patterns and extract meaningful information about the sample’s composition.
Spectroscopy Knowledge Base for more info

Spectral ID   

The Spectral ID app is designed to identify the best possible match for an unknown sample using either scope, absorbance, or transmission data. It utilizes a library of spectrometric data created by the user, which contains reference spectra of known samples.
Spectroscopy Knowledge Base for more info

Raman Mode   

The Raman app is specifically designed to represent spectrometric data in Raman Shift space. Raman Shift is a term used in Raman spectroscopy to describe the shift in wavelength or frequency of light due to Raman scattering. The Raman app utilizes this concept to plot and analyze spectrometric data in the Raman Shift space.
Spectroscopy Knowledge Base for more info

Haze App   

The Haze app is designed to measure the Haze percentage of transparent and translucent samples. It provides both Haze % and CIE Lab color values as outputs. The app utilizes two methods, namely Total Transmission and Diffuse Transmission, to determine the Haze value.
Spectroscopy Knowledge Base for more info

Thin Film App   

The Thin Film Measurement App is specifically designed to measure the thickness of a single-layer film using the transfer matrix method and reflectance data. This app utilizes the principles of thin film interference and the transfer matrix formalism to calculate the thickness of the film based on the changes in reflectance at different wavelengths.
Spectroscopy Knowledge Base for more info

Multi-Channels App     

The Multichannel app offers users the flexibility to simultaneously use multiple spectrometers. This powerful functionality enables users to visualize different graphs and access application data for various purposes, including Radiometer, Colorimeter, Concentration, and Chemwiz ADK app. With the ability to utilize multiple spectrometers concurrently, users can efficiently analyze and monitor data across different applications and spectrometers.
Spectroscopy Knowledge Base for more info

The StellarPro Software has advanced spectral preprocessing built in. You can choose from a variety of options including:

Baseline Removal: Eliminate unwanted systematic variations and noise, allowing the extraction of meaningful spectral information

• Polynomial: Fit and subtract a polynomial function from the spectral data
• Unispline: Utilizes a smoothing spline function to estimate and remove the baseline from spectral data
• ALS: Iteratively estimate and subtract a baseline from the spectral data
• arPLS: Iteratively estimates and removes the baseline from spectroscopic data by incorporating asymmetric reweighting and penalized least squares techniques
• drPLS: Combines penalized least squares with doubly regularization to enhance the removal of baseline distortions and noise from spectroscopic data
• Rubberhand: Robust and flexible baseline removal technique that utilizes a combination of curve fitting and iterative outlier rejection

Smoothing: Reduce noise and improve signal-to-noise ratio by averaging adjacent data points within a specified window

• Savgol: Uses polynomial fitting within a sliding window to reduce noise and enhance spectral data while preserving important features
• Whittaker: Applies a penalized least squares algorithm to effectively reduce noise, smooth spectral data
• Flat: Averaging adjacent data points within a fixed window size to reduce noise
• Hanning: Reduces spectral leakage and provides good frequency resolution by tapering the data points smoothly at the edges of the window
• Hamming: Improved sidelobe suppression, minimizing spectral leakage and enhancing frequency analysis in spectroscopy
• Bartlett: Triangular smoothing window that reduces spectral leakage by gradually tapering the data points from the center to the edges, suitable for applications where the spectrum is expected to be symmetric
• Blackman: Smoothing window with a more complex shape, featuring excellent sidelobe suppression and minimal spectral leakage, making it suitable for precise frequency analysis and peak detection in spectroscopy

Normalization: Scales spectral data for meaningful comparison and analysis, ensuring consistency and preserving spectral characteristics

• Intensity: Adjusts the spectral data to a consistent range, enhancing comparability and analysis by eliminating variations in overall intensity levels
• Minmax: Scales the spectral data to the range of 0 to 1
• Derivative: Enhance spectral features, identify peaks, and improve spectral resolution by quantifying the rate of change in intensity with respect to the wavelength or wave number, providing valuable information about the underlying chemical or physical processes in the sample
• Cosmic Rays/Spikes: Identification and elimination of sudden, isolated intensity spikes or cosmic ray events in the spectral data

The StellarPro software features individual user login credentials with data logging as well as Admin and user permission settings. This comes in handy when applying spectroscopy to your business operation. The Admin can create an application or module which than can be set and saved. Subsequent users can login without need or ability to change settings. This guarantees accurate analysis when you need it!

 

StellarPro offers customizable data reports to fit your company or universities specific requirements. Users can customize the report header, logo (use your own!), or report title. The logged in user’s name can be printed with the date along with a screenshot of the application module. Just about any of the application module data can be selected and saved to the report!  Follow the instruction below for customization details and visit our knowledge base on custom reporting.

Header: Leave it empty for no header. Alternatively, use the “<Application>” text to display the selected application name.
Logo: Enable the checkbox to include a logo. You can replace the default logo by clicking on the image and selecting your desired logo.
Title: Enable the checkbox to include a title in the report. Once enabled, you can use the “<Application>” text to automatically insert the application name.
Username: Enable the checkbox to include the logged-in username in the report.
Today’s Date: Enable the checkbox to include the current date in the report.
Screenshot of the Current Application: Select this checkbox to capture and include a screenshot of the application.
Data Info: Customize the display and save options for the PDF by configuring the checkboxes in the “Display / Save PDF / MQTT” column under the “Applications” tab. The same settings will be applied to both the application window display and the MQTT publish.
Footer: The footer is not configurable and is reserved for StellarNet copyright and StellarPro version information.

more info

 

A lightweight publish-subscribe network protocol for message queuing services, designed for connections with remote locations that have devices with resource constraints or limited network bandwidth, such as in the Internet of Things (IoT).

 

Operating System:
Windows 10 (64-bit) or newer
Other operating systems:
Ubuntu 20.04 (tested and supported)
macOS (tested on both Apple Silicon and Intel-based Macs)

RAM:
Minimum: 8 GB
Recommended: 16 GB or more (especially for large datasets