DatLab

From Bioblast

Jump to: navigation, search


OROBOROS INSTRUMENTS

OROBOROS         Products         Support         O2k-Publications         Workshops & Events         O2k-Network         Feedback         Company         Contact



DatLab

O2k-Catalogue» OROBOROS O2k-Catalogue, Order @OROBOROS

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 O2k-Manuals

Chapter Section Last update
MiPNet12.10 TIP2k-manual
O2k-Manual
Titration-Injection microPump. TIP2k user manual.
2014-03-06
MiPNet15.03 O2k-MultiSensor-ISE
O2k-Manual
O2k-MultiSensor system with ion selective electrodes (ISE).
2014-03-06
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-Core manual
O2k-Manual
O2k-Core manual contents.
2016-08-08
MiPNet19.18A O2k-start
O2k-Manual
Oxygraph-2k: start high-resolution respirometry.
2016-08-08
MiPNet19.18C DatLab-guide
O2k-Manual
DatLab-guide through the menus.
2016-08-08
MiPNet19.18D O2k-calibration
O2k-Manual
O2k-calibration by DatLab.
2015-08-08
MiPNet19.18E O2 flux analysis
O2k-Manual
Oxygen flux analysis: DatLab real-time.
2016-08-08
MiPNet21.16 DatLab 7
OROBOROS-Info
DatLab 7: innovations.
2016-08-15
» DatLab 2
OROBOROS support

O2k-technical support

This information is part of O2k-technical support and open innovation.}

Contents


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: Pentium III, 256 MB RAM, 32- or 64-bit version of Windows 7, Windows 8, Win 2000™ or Win XP™.


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: support@oroboros.at


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.
Personal tools
Namespaces
Variants
Actions
OROBOROS
Bioblast
MitoGlobal
Support pages
Toolbox