Improved Baseline Correction and Signal Noise Estimation
- Baseline Correction has a new Median-Mean filter type for Default algorithm and automated noise estimation. This new filter can handle a rapid changing baseline along Column I dimension better than the filter in older versions.
- A new Recalculate Signal Noise tool can be used to recalculate estimated noises from individual strides and/or specified regions after baseline correction. This new operation allows user to specify background regions manually if automated noise estimation was affected by some background artifacts. In addition, the new operation provides three different ways to estimate noise, IID, Standard Deviation, and Peak-to-Peak, and can be added to a method for batch processing.
A new Detect a Blob cursor mode is available for detecting a blob at the location indicated by the mouse drag selection. If the location is not contained by existing blobs, the program will detect a blob at the center of the location automatically. If the location is contained by some existing blob, the program will select the blob, and invoke Local Blob Detection to allow users to re-detect blobs within the blob area.
New Features Related to Data Analysis and Reports
- The Visualize Data tool now computes and displays both population and sample standard deviations of data point values in the targeted region.
- The Blob Table now can be configured to show Peak-to-Peak noise and SNR columns.
- Noise(p-p): Estimated peak-to-peak noise at peak sample, which is equal to six times sample noise.
- SNR(p-p): Ratio of peak value to the estimated peak-to-peak noise
- All figures and chromatogram images in Reports are now saved as PNG instead of JPEG to provide the best quality for presentation. In addition, File > Export Image as Picture now can save a chromatogram image in a GIF format.
- Import Compound List now checks if a peak to be imported is out of bounds and warns the user.
- A new option is available for including all unspecified columns in the compound list as custom attributes. When this option is selected, all unspecified columns will be imported into the Description field of corresponding template peaks as custom attributes.
- Import Compound List now allows applying a shift to the imported compound peaks. The user can choose to apply the same phase shift as the image, or specify a shift amount. The imported compound peaks will wrap around the image if required.
- The PCA calculations for Investigator now run in the background, which allows users to switch between tabs and continue working while it is being processed.
- Investigator now supports filtering entries in Images and Compounds perspectives, in addition to Summary perspective. In the Images perspective, images can be filtered by name or class label. Blob Table, Area Table, and Blob Set Table of an image can be filtered by the selected column. In the Compounds perspective, compounds can be filtered by name.
- Investigator now has targeted views in Compounds perspectives.
- Trend: Line charts show trends of the selected attributes based on the sorting order of the current table.
- Distribution: Bar charts show how values of the selected attributes are distributed across sample images.
- Spectra: Spectral views show the spectra of the selected compound across sample images if Spectrum attribute is available.