
Peak Detection
•Deisotope (reflector data only)— Peak deisotoping reduces the spectrum to a monoisotopic centroided plot of the monoisotopic masses. This is useful in identifying overlapping isotope clusters. Make sure peak detection thresholds are set low enough to detect the monoisotopic peak before deisotoping. For more information, see Section 3.4, Deisotoping a Spectrum. Deisotoping provides no benefit on linear data
3.If peak detection is not acceptable, keep the Use Resolution Dependent Settings option enabled, and adjust the parameter associated with the observed problem:
Problem | Suggested Actions |
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Decrease Mass Resolution setting. The default Mass |
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detected | Resolution settings are optimized for masses below |
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| 20,000 Da. |
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Noise detected as peaks | Increase the %Max Peak Area. |
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| Decrease the Resolution. |
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Peaks of interest are not | Decrease the %Max Peak Area. |
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detected | NOTE: %Max Peak Area is calculated above the local |
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| baseline and can compensate for problems related to a |
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| rising global baseline. |
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Low Mass Gate spike is | Truncate the data to eliminate the Low Mass Gate spike, |
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identified as the Base | then reapply peak detection settings. See Section 5.9, |
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Peak |
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Peaks detected before | Set %Max Peak Area and %BP Intensity to 0 before |
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deisotoping are not | deisotoping, deisotope, then reset thresholds to |
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detected after | appropriate settings after deisotoping. |
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deisotoping |
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Data Explorer™ Software User’s Guide |