The Advanced Spectra Search (ADSS) program comes standard with Advanced SearchNAV (ASN).
ADSS aids in the analysis of spectra for unknown samples. The program uses two functions to identify the sample: Classification and Search.

1. 1. Spectra are classified using a machine learning technique without the use of libraries.
   2. The validity of the classification results is checked based on the characteristic band positions and the spectral intensity and can be visually confirmed.
   3. The categories and probabilities are displayed in a table and a bar graph and the classification results can be saved in text format.
   4. The assist function supports the interpretation of the classification results.
   5. The combined use of spectrum classification and searching enables detailed analysis of unknown samples.
   6. A spectrum search can be performed multiple times and the analysis results can be refined by changing the search criteria.
   7. The results for specified conditions can be displayed in descending order of match rate. The classification/search results are saved together and can be reopened using the ADSS program.
   8. User libraries for spectrum searching created by the Spectrum Library Manager program can be used with the ADSS program.

Open a spectrum file for an unknown sample. Select the Classification check box and click Run. The Classification results are displayed in the Classification Hit List tab shown in the bottom of Figure 1. The unknown sample spectrum and the associated Classification category spectrum are shown at the top of Figure 1. The 35 Classification categories are displayed in Table 1.

Table 1. ADSS Classification Categories

Open a spectrum file for an unknown sample and select the Search check box. Click Library to select the libraries you would like to register for the Search. The Search results are displayed in the Hit List tab shown at the bottom of Figure 3. The unknown sample spectrum and the associated Search spectrum are shown at the top of Figure 3.