LIBS Software AtomAnalyzer

Process the spectra quickly and efficiently! Connecting the individual functional nodes together makes even the most complex algorithms clear and easily editable.

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Introduction

Characteristic

Functional Nodes

AtomAnalyzer is a software for the spectra processing. It brings a new concept of spectra analysis, where each operation is represented by a so-called Node. Connections between the nodes together with the order of operations creates a processing graph which can be used for automated spectra analysis. Functional Nodes

Tiles of AtomAnalyzer node icons

Each Node represents some function / calculation / visualization.


Step by step analysis

Start with the input spectra, place individual Nodes on the graphical Workspace, connect them to each other as desired and run the spectra processing procedure.

Schema of AtomAnalyzer node workflow

Built for optimization

The proprietary system of binary input files provides fast calculations of basic spectroscopic properties and other demands. Optimization for large sets of spectra enables high-performance even on a moderate computer.

AtomAnalyzer supports multi-thread parallelization. GPU-supported calculations are planned in the future.


List of available nodes

All the nodes are organized into the groups - so called Toolkits. The most common functions are present in the Basic Toolkit and they have been already implemented into the AtomAnalyzer:

Toolkit Category Included nodes

Basic toolkit

General
  • Input data
  • Merge data
  • Split data
  • Save data
  • Export data
  • Edit metadata
  • Metadata filter
  • Select wavelength
Arithmetics
  • Binary operation
  • Metadata operation
  • Spectra operation
  • Interval operation
  • Signal to Noise
  • Subtract background
  • Internal standardization
Spectroscopy
  • Search peaks
  • Identify peaks
  • Show emission lines
Visualizers
  • Line plot
  • Scatter plot
  • Metadata viewer

Chemometrics toolkit

Chemometrics
  • Calculate PCA
  • Predict PCA

Mapping toolkit

Visualizers
  • Mapping plot

Prediction toolkit

Prediction
  • Create calibration model
  • Predict concetration
  • Save/Load calibration model
And now we are working on more advanced features, such as
Chemometrics and NNA
  • PLS node
  • Genetic algorithm node
  • SIMCA node
  • Back propagation node (ANN)
  • Feature selection node (ANN)
  • Self-organizing maps node
Reports
  • Voting experts node
  • Publication quality output node
  • Reports generation