Batch Process improvements

Support Before Script in Batch Processing

ORG-8482

In the Batch Processing or Batch Peak Analysis Using Theme dialog, we can run labtalk script before running the analysis.

How to...

Example 1: Data selection before running batch peak searching.

  1. In this case, we want to do peak search only on spectrum of column B,C,D,E and ignore noise column F1, G1.

 

 

2. Highlight the whole worksheet and go to Analysis:Peaks And Baseline:Batch Peak Analysis Using Theme dialog. Input Labtalk script to skip the columns with noise (Maximum column value is less than 100 ).

3. In the result sheet, Data of B,C,D,E columns are analyzed.

 

 

Example 2: Data filtering before batch processing.

  1. If want to do batch processing with the following template where column B is filtered before doing linear regression.

 

2. In the Batch Processing dialog, we input the following script to activate the filter of each imported data.

 

3. In the result sheets, the filter in each dataset is activated before analysis.

 

 

 

Support  append results by columns

ORG-6141

Analysis result can be appended vertically in the report sheet.

Batch Processing with Analysis Template Support Import Multiple Files into Sequential Worksheets

ORG-12759

When the analysis template has multiple sheets as input for analysis, we can now insert multiple data files into individual worksheets in batch processing:

How to...

  1. In batch processing dialog, when the datasheet(s) is set to auto, Origin will detect the number of input worksheets in the template. (The blue hint lines shows the detected worksheets)
  2. The import file numbers should be multiple of worksheet number. Then each file will be imported into individual worksheet for later analysis.

 

 

 

 

 

 

Allow using X Data Info. as Dataset Identifier in Batch Processing
ORG-13400

Sometimes data information is in X data column instead of Y. In Batch Processing dialog (including Batch Peak Analysis using Theme dialog), user can set Dataset Identifier from X columns.