Chromatography Nodes
Comprehensive chromatography data analysis toolkit with 6 specialized nodes for reading, processing, analyzing, and visualizing chromatogram data.
Node Reference
Detailed documentation for each chromatography node available in VERA.
Chromatography Reader
Read chromatography data from various file formats
Key Features
- •Multiple format support (CSV, TXT, proprietary formats)
- •Auto-detection of chromatography type
- •Metadata extraction
- •Quality control checks
- •Batch processing support
Input Ports
Chromatography data file
File format (auto-detect if not specified)
Output Ports
Raw chromatogram data
File and instrument metadata
Automatically detected peaks
Chromatogram Smoothing
Apply various smoothing algorithms to chromatogram data
Key Features
- •Multiple smoothing algorithms (Savitzky-Golay, moving average)
- •Adaptive smoothing
- •Noise level estimation
- •Peak preservation
- •Parameter optimization
Input Ports
Input chromatogram data
Smoothing method
Output Ports
Smoothed chromatogram
Smoothing parameters used
Noise reduction metrics
Baseline Correction
Correct baseline drift in chromatogram data
Key Features
- •Automatic baseline detection
- •Manual baseline editing
- •Drift correction algorithms
- •Asymmetric least squares
- •Polynomial fitting
Input Ports
Input chromatogram data
Baseline correction method
Output Ports
Baseline-corrected chromatogram
Estimated baseline
Correction method details
Peak Detection
Detect and characterize peaks in chromatogram data
Key Features
- •Multiple detection algorithms
- •Peak width estimation
- •Height and area calculation
- •Signal-to-noise ratio
- •Peak quality assessment
Input Ports
Input chromatogram data
Peak detection parameters
Output Ports
Detected peaks with properties
Peak summary table
Detection algorithm details
Peak Integration
Integrate peaks to calculate quantitative information
Key Features
- •Multiple integration methods
- •Baseline subtraction
- •Manual integration editing
- •Calibration curve support
- •Limit of detection calculation
Input Ports
Detected peaks
Original chromatogram data
Output Ports
Integrated peak data
Quantitative results
Integration method details
Chromatogram Viewer
Interactive visualization of chromatogram data
Key Features
- •Interactive zoom and pan
- •Peak annotation
- •Multiple overlay support
- •Export capabilities
- •Real-time data inspection
Input Ports
Chromatogram data to visualize
Peak data (optional)
Output Ports
Chromatogram visualization
Interactive viewer
Workflow Examples
Common chromatography analysis workflows using these specialized nodes.
Basic Chromatogram Analysis
Complete workflow for analyzing a single chromatogram
- 1Load chromatogram data with Chrom Reader
- 2Apply baseline correction
- 3Smooth noisy data
- 4Detect peaks automatically
- 5Integrate peaks for quantification
- 6Generate analysis report
Batch Processing Pipeline
Process multiple chromatograms with consistent parameters
- 1Set up batch processing workflow
- 2Load multiple chromatogram files
- 3Apply consistent baseline correction
- 4Use same peak detection parameters
- 5Standardize integration settings
- 6Generate comparative analysis
Method Development
Optimize chromatography parameters using data analysis
- 1Load test chromatograms
- 2Compare different smoothing methods
- 3Test various baseline correction algorithms
- 4Optimize peak detection parameters
- 5Validate integration accuracy
- 6Document optimized method
Supported Chromatography Types
The chromatography nodes support various analytical techniques and data formats.
HPLC
High Performance Liquid Chromatography
GC
Gas Chromatography
LC-MS
Liquid Chromatography Mass Spectrometry
GC-MS
Gas Chromatography Mass Spectrometry
CE
Capillary Electrophoresis
TLC
Thin Layer Chromatography
IC
Ion Chromatography
SEC
Size Exclusion Chromatography