We are happy to announce that loopbio gmbh has been accepted into the
NVIDIA Inception Program.
The program is designed to nurture dedicated and exceptional
startups who are revolutionizing industries with AI and data science.
The Inception Program provides direct access to NVIDIA's latest technology,
deep learning expertise, and a global network of partners and customers.
Loopbio was the first company to bring easy to use deep learning based video analysis and
tracking soulutions to the quantitative and behavioural biology research fields. Our
revolutionary loopy product was launched in 2017 and allowed AI tracking and
analysis of animal behaviour, using only your web browser and without writing any code.
Loopy has been improved ever since with the addition of state of the art
AI algorithms for pose and 3D tracking, and image and behavioural classification.
Unlike other AI platforms, loopy does not stop at just model training. It provides
comprehensive tools for performing quantitative analysis on processed video to let users
get high quality scientific data faster.
Loopbio was founded in 2016 to bring cutting edge technology to
behavioural biology. The company is based in Vienna and provides integrated solutions for high-speed
single- and multiple-camera video recording, video analysis and tracking, and virtual reality.
Following the last release we have continued to add features
and improvements to our Motif software. This post includes a short overview of some hightlights,
while a full list of changes is provided on our website.
Each and every Motif system receives automatic updates without any extra charge.
Increased Support for Environmental Sensors
We have improved our support for environmental sensors from Phidgets greatly. This means that
you can simply connect any one of their 'VINT' series sensors to a Motif system and
you can now take sensor recordings automatically, at several different sample rates. Phidgets
offer an enormous variety of sensors which can be used to measure various parameters of your
experiment while recording video, including;
Because we record to our extensible and open imgstore format,
all sensor recordings are immediately associated with both the time and framenumber of the video
In addition to measuring environmental sensors, we added the ability to switch on or off supported
Phidgets outputs, relays and motors. Using our open API
you can now, for example, perform tasks like the following
control experimental stimuli at regular or scheduled times
control physical devices such as motors, servos or actuators
switch on/off LEDs, lights or other stimuli
schedule tasks for before or after recording has been completed, such as automated
feeding or cleaning procedures
Improved Integration with Loopy
Following on from above, if you have a recording with environmental data associated, this
will be immediately visible in Loopy after the imgstore has been uploading or imported.
Graphing and export of environmental data associated with a recording is displayed in Loopy
If you are running an on-site version of Loopy, your Motif and Loopy systems can be configured
to allow automatic import of recordings after the completion of your experiment. This feature
is especially advantageous when both systems are integrated with your IT infrastructure because
all video and experimental data is automatically added to your shared and backed-up network
storage without risk of deletion or loss.
Simply enter you Loopy username and your recording will be automatically backed up and imported
Further descriptions of the powerful integrations between Motif and Loopy will be the subject
of a future blog post.
New Alignment Visualization
The last motif release added a number of image feedback augmentations to
help with setting up your cameras and experimental assays. This release added a new visualization
designed to help with alignment of samples inside the experimental apparatus, or to help
align multiple cameras in a multiple-camera situation.
The center of the image is indicated, in addition to concentric bands respecting the aspect ration of the camera sensor.
Motif is the first video and camera recording system designed for the experiments of modern
scientists. It supports single and multiple synchronized camera scenarios, remote operation,
high framerate and unlimited duration recording. It is always updated and has no single-user
or other usage limitations.
If you are interested in a Motif system, please contact us for a quote
or to see how Motif can solve your video recording needs.
Motif video recording software version 4.0 was released today. This version features many
changes and improvements, as demonstrated in the following youtube video
Motif is a video recording sytem which supports single single camera or multiple camera recording,
and video recordings can be from seconds to weeks in duration. The version 4.0 release has the
add zoom, focus feedback and colormaps to preview display
support multiple Ximea cameras
add 'delete after copy', i.e. 'Move' and 'delete after export' modes
add scheduler for scheduling recordings and other operations
Sample screenshots of Motif 4.0 multi-camera and single-camera web user interface
I'd like to demonstrate a the last two of these features using the new Python API.
Starting and stopping recording is easy. The following snippet demonstrates
starting recording on all cameras with the predefined compression settings
named 'high' (see the Web UI for the names of your configured compression formats). The
recording will run for 5 seconds and will have have the additional metadata 'experiment' and
'genotype' saved to the recorded file. The snipped works equally on single or
simultaenous multiple-camera systems.
Likewise, the API also supports defining scheduled tasks, this allows for example, to
schedule recordings and their subsequent copy to storage to occur at specific times. Task
scheduling re-uses Cron syntax with some extensions (monotonic tasks).
We are really excited about these new API feature as they allowa laboratory wide automation
of single or multiple recording systems or experimental assays. We are looking forward to
extending our API support in future releases.