shopify
analytics ecommerce tracking

Ambr250 Connector

Ambr250 is a fully automated bioreactor system for microbial fermentation and mammalian cell cultures.  12 or 24 single-use pre-sterilised disposable bioreactor vessels can be controlled by an automated workstation to enable execution of experiment runs.  The Ambr system provides individual control for each vessel - temperature, impeller speed, pH and DO.

 

There is a risk that using sophisticated high throughout systems creates downstream bottlenecks, particularly with respect to data analysis.   For users of JMP Software, the Ambr250 Connector is designed to mitigate this risk.

 

Here is an example for purposes of illustration.

 

Let's say that you want to create an overlay graph of oxygen rate and carbon dioxide evolution for each of the 24 vessels used to conduct an experiment.  The data for each variable is stored in a separate file.  And distinct files are maintained for each bioreactor vessel.  So that means to create the overlay graph you will need to import data from 48 files.  And the files are not even stored in the same location; data for each vessel is stored in a separate folder.  Once you have imported the data you will have 48 separate JMP files, but you only want one.  The 24 files for each variable need to be combined and then data for the two variables needs to be joined.  Each data point has a timestamp which needs to be converted to an age to convey useful information.  And if you pay close attention to the data you will discover that  some of the most recent data values are missing.  Ambr stores "current values" in a separate file structure.  You could try reading this into JMP but it won't be easy because it is a binary file.  And all of this assumes that you can find the data files in the first place.  But that is not always easy.  They often have cryptic names like this: "4163dc85-d82a-40b0-82d9-da86934d1e94 64748659CA6542F3116D85CE4F74140FF3E21300.all.csv".  So first a variables identifiers file needs to be referenced to determine the contents of each file.

 

And this is how it works using the Ambr250 Connector:

 

  1. Select your variables

  2. Click import

 

The Ambr250 Connector has a user interface that gives you visibility to all of the variables for which data has been collected.

When you click the Import button data from all vessel files is imported into a single JMP table.  If multiple variables have been selected then the data is automatically joined.

 

Utility scripts are provided to simplify the import of cell viability data.  When the data is imported the JMP table includes the following table scripts:

 

  • Split by Bioreactor
  • Highlight Peaks
  • Take of Peaks
  • Bioreactor IVC
  • IVC Table

 

The list of variables can be very long especially as it will contain inline process control data.  But you can manage the list by using search facilities and user-defined lists.  Furthermore you can preview file contents before initiating an import.

Copyright © 2010-2019         Pega Analytics Ltd        All Rights Reserved