Software Tools for 3D Raman Imaging - - Spectroscopy
 Home   Mass Spectrometry   ICP-MS   Infrared   FT-IR   UV-Vis   Raman   NMR   X-Ray   Fluorescence  
Issue Archive
Special Issues
The Application Notebook
Current Issue
Submission Guidelines
Digital Edition
Subscribe to the Digital Edition
The Wavelength
Subcribe to The Wavelength
Subscribe to the MS E-news
Market Profiles
Information for Authors
Advertiser services
Contact Us
Atomic Perspectives
Chemometrics in Spectroscopy
Focus on Quality
Laser and Optics Interface
Mass Spectrometry Forum
The Baseline
Molecular Spectroscopy Workbench

Software Tools for 3D Raman Imaging

Application Notebook
pp. 24

Newly developed software tools provide various functions for the acquisition, evaluation, and processing for high-resolution 3D Raman images. The application note exemplarily describes the basic usage of several software tools.

Confocal Raman microscopy is a high-resolution imaging technique that has become widely used for the characterization of materials and specimens in terms of their chemical composition. With 2D and 3D Raman images, information regarding the chemical compounds and their distribution within the sample can be illustrated clearly. The new WITec Project FOUR software was especially developed to perform large-area and 3D Raman imaging and to ensure an efficient workflow from data acquisition, to evaluation, to post-processing, and then identification of the best results from each measurement.

Generation of Volume Scans, Image Stacks, and 3D Visualization

Figure 1: a) 3D color-coded Raman image of pollen in honey. Green: Pollen; Red, Blue, Cyan: Different crystalline phases in the honey; Yellow: Honey. Image parameters: volume size: 50 50 50 m3; 150 150 50 = 1,125,000 spectra; integration time per spectrum: 12.2 ms. b) Example spectrum before and after background subtraction: With the automatic background subtraction varying background signals from large data sets can be automatically identified (red line) and removed. c) Corresponding Raman spectra after background subtraction.
Volume scans are a valuable tool in providing information about the dimensions of objects or the distribution of a certain compound throughout the sample. The generation of volume scans and 3D images always requires large data sizes. In order to generate 3D images, confocal 2D Raman images of different focal planes are acquired by scanning throughout the sample in the z-direction. The 2D images are then combined into a 3D image stack.

A sample of natural honey was investigated. For the 3D image, 50 single 2D Raman images (x-y scan) were generated from different z-positions through the sample. The scan range was 50 50 m2 with 150 150 pixels. The raw data file size was about 2.1 GB. In a first processing step the main sample components were identified by the cluster analysis function of the Project FOUR software. Since biological samples tend to show a strong fluorescence background signal, an automatic background subtraction filter was additionally applied in order to remove varying background signal from the data set (Figure 1b). The background subtracted spectra of the main components are shown in Figure 1c. The data were further processed and optimized for 3D visualization by applying the basis analysis algorithm for spectral demixing. The resulting signal intensity values were used to generate the 3D image stack with a third party software. The color-coded 3D stack has a volume of 50 50 50 m3 and displays a pollen shown in green surrounded by different crystalline phases of the honey in red, blue, and cyan and the liquid honey phase displayed in yellow (Figure 1a).

WITec GmbH
Lise-Meitner-Str. 6, 89091 Ulm, Germany
tel. +49 (0) 731 140 700, email:


Rate This Article
Your original vote has been tallied and is included in the ratings results.
View our top pages
Average rating for this page is: 0
Headlines from LCGC North America and Chromatography Online
LCGC TV Library
New Carbon-Based Phases for 2D LC
Emerging Trends in Pharmaceutical Analysis
Waters EU - Combining Mass and UV Spectral Data with Empower 3 Software to Streamline Peak Tracking and Coelution Detection
Pharma Focus: Where pharmaceutical analysis is heading
Source: Application Notebook,
Click here