Chapter 7 Data Explorer Examples
7.2.3Detecting Peaks
from Complex Digests
| Overview Complex digests often contain hundreds of peaks which may | |
|
| have relatively low |
|
| noise and detect peaks of interest: |
7 |
| • Noise filter/smooth to remove initial noise. |
| • Set initial peak detection thresholds low enough to detect | |
|
| all peaks, to ensure that monoisotopic peaks are detected |
|
| for proper deisotoping. |
|
| • Deisotope to identify isotope peak clusters. The |
|
| deisotope function amplifies peak intensity based on the |
| ||
|
| total area of all peak areas in the isotope cluster. It does |
|
| not amplify noise peaks. |
|
| • Increase peak detection thresholds to eliminate noise |
|
| peaks. |
|
| |
|
| Overlapping Peak Labels are enabled to illustrate the large |
|
| number of peaks detected in the spectrum (over 300 peaks |
|
| contained in the peak list displayed in the Output window). |
|
|
|
|
|
|
Figure
Detected (Allow Overlapping Labels Enabled)