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DatLab

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DatLab

O2k-Catalogue

Description DatLab is the O2k-Software for Data Acquisition & Analysis, specifically developed for O2k high-resolution respirometry with the Oxygraph-2k.

The newest DatLab version is included in the O2k-Core, and updates of DatLab are free of charge during the warranty period of the O2k.

Product ID 20700
Type O2k, O2k-Core
Link DatLab @OROBOROS
Image
DatLab

DatLab O2k-Manuals

ChapterSectionLast update
MiPNet06.03 POS-calibration-SOP
O2k-Manual
O2k Quality Control 1: Polarographic oxygen sensors and accuracy of calibration.
2023-02-06
MiPNet12.10 TIP2k-manual
O2k-Manual
Titration-Injection microPump TIP2k manual.
2021-07-08
MiPNet14.06 Instrumental O2 background
O2k-Manual
O2k Quality Control 2: Instrumental oxygen background correction and accuracy of oxygen flux.
2023-10-19
MiPNet15.03 O2k-MultiSensor-ISE
O2k-Manual
O2k-MultiSensor system with ion selective electrodes (ISE).
2021-08-02
MiPNet17.05 O2k-Fluo LED2-Module
O2k-Manual
O2k-Fluo LED2-Module.
2021-06-22
MiPNet19.01 O2k-Core Manual Series F DatLab 5
O2k-Manual
O2k-Core Manual - up to O2k-Series F and DatLab 5.
2014-03
MiPNet19.18 O2k-Series G Core manual
O2k-Manual
O2k-Core manual contents.
2016-08-08
MiPNet19.18A O2k-Series G: Start
O2k-Manual
Oxygraph-2k: start high-resolution respirometry.
2016-08-08
MiPNet19.18C DatLab 6: Guide
O2k-Manual
DatLab-guide through the menus.
2016-08-24
MiPNet19.18E O2 flux analysis - DatLab 6
O2k-Manual
Oxygen flux analysis: DatLab real-time.
2016-08-08
MiPNet22.11 O2k-FluoRespirometer manual
O2k-Manual
O2k-FluoRespirometer manual.
2023-03-14
MiPNet23.15 O2k-pH ISE-Module
O2k-Manual
Measurement of proton flux with the O2k-pH ISE-Module.
2018-09-08
MiPNet24.14 O2k-sV-Module manual
O2k-Manual
O2k-sV-Module manual.
2020-03-17
MiPNet26.06 DatLab 7: Guide
O2k-Manual
DatLab-guide through the menus.
2021-06-02
» DatLab 2

Template NextGen-O2k.jpg


MitoPedia O2k and high-resolution respirometry: O2k-Open Support 



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MitoPedia: DatLab

MitoPedia: DatLab

» MitoPedia: DatLab


PC requirements

A PC or notebook is required (not included in our offers), connecting DatLab to the O2k via the USB cable supplied with the O2k.
Minimum requirements: Intel-Core-2 or equivalent CPU, 2GB RAM, Windows XP
Recommended requirements: Intel i5 or equivalent CPU, 4GB RAM, Windows 7, SSD

Install DatLab 6

» DatLab 6 innovations - OROBOROS INSTRUMENTS released DatLab 6 in October 2014.
For DatLab 5 users, the O2k-Core Manual for DatLab 5 is still available.

Download

  • From the OROBOROS USB-flash drive delivered with the O2k.
» O2k-Manual: MiPNet19.18A O2k-Start
  • O2k users can download the DatLab software from the OROBOROS website: » www.oroboros.at
  • The password is provided in the context of delivery of the O2k.
  • The Bioblast password is not the same as the Datlab password.
  • If the password got lost, contact: [email protected]


Install DatLab for two or more O2ks on one computer

  1. Install two (or more) copies of DatLab in two (or more) different directories, e.g. DatLab_O2k1 and DatLab_O2k2.
  2. Create two or more shortcuts to the different .exe files. (the .exe files do not have to be renamed because they are in different directories). In this way the O2k-specific .ini files are separated in the different directories.
  3. Assign different Power-O2k numbers (see MiPNet19.18A_O2k-Start) and activate Graph/Display Power-O2k (see MiPNet19.18C_DatLab_Guide) to distinguish the individual O2ks in the graphs.


Upgrade DatLab and compatibility

  1. DatLab can be installed within the directory of a previous DatLab version (recommended option). In this case all DatLab files will be kept, but some layouts are overwritten.
  2. During the first start of DatLab the information in any previous *.ini file in the same directory will be copied to the new *.ini.
  3. The nomenclature of some default graph layouts has changed. We recommend users upgrading from DatLab 5 to update Graph layouts after installing the new DatLab version.
  • Compatibility with DatLab 5: DatLab 6 is downwards compatible with DatLab 5: DatLab 6 can read all files generated by DatLab 5. DatLab 5 is upwards compatible with 6 in regards to basic data storage. However, new features in DatLab 6 may cause problems e.g. in Marks Statistics. We therefore do not recommend to open files created with DatLab 6 in DatLab 5.
  • Compatibility with DatLab 4: DatLab 6 is downwards compatible with DatLab 4: DatLab 6 can read all files generated by DatLab 4. However, DatLab 6 will save these files always in the DatLab 5/6 format. Afterwards, these files will no longer be readable by DatLab 4. Therefore, we recommend doing a complete transition from DatLab 4 to DatLab 6, upgrading all computers. However, there is no need to mass convert the old DatLab 4 files. They can stay in the DatLab 4 format and will be converted by DatLab 6 when necessary.
  • Talk:DatLab#DatLab_for_Apple


Information for IT-administrators

DatLab does not write to any part of the registry nor to any directory besides the program directory and its subdirectories, the data-directory and the users temporary files folder.


Overlay of Datlab plots from different experiments

There are basically two ways to superimpose traces recorded in different experiments: Export of the graphics via windows metafile or export of the data to e.g. a spreadsheet program.
If you export via wmf you also can manipulate the graphics but then usually the lines are broken up in different segments. This can be done in various programs like MS Word, Open Office Draw and even in MSPower Point, though this maybe is the worst program to do this. It is better to manipulate them in a proper program like OO Draw, convert it to an unchangeable picture and then import it to a presentation graphics. Anyway, when you import directly to Power point (or other programs), make sure not to import it as a "picture" but as a metafile. Also in some programs you might afterwards have to "break" it up, or accept a "conversion to a MS Draw object" or other similar linguistic inventions of the software gurus. For this option we suggest to do as much as possible directly in DatLab (setting colors, line widths, ..) using the options in "Plots"/"select plots" and "graph"/"options".
The “hardcore“ option is to export the data and import it into e.g. a spreadsheet program (MS Excel , OOCalc). It takes longer to have a simple overlay but gives you far less problems later and its easier to make changes later. To do this you can export your dataset "Export"/"Data to Textfile" and then go from there.