Pulsed laser diodes for PIV illumination (it's cheap and it's blue!)

I just finished designing a PIV illumination system that uses one or more laser diodes to generate a thin & bright light sheet. Naturally, this illumination can not compete with e.g. our 200 mJ double-pulsed PIV laser (which costs something between 30 and 40k Euros). But it is very good for illuminating smaller areas (e.g. 300 x 200 mm) and low flow velocities (up to 2.5 m/s). It has a built-in synchronizer for pco cameras, and can be controlled wirelessly from PIVlab. Power consumption is very low, so it can be powered by any standard USB-C phone charger or power bank. PIV products for PIVlab Data sheet

PIV uncertainty: Help and Feedback wanted

Pretty often, you are asking for a method to quantify the PIV uncertainty. I implemented a method from 2013, and I need your help and feedback to finalize this. It is actually pretty simple, and my code is very straightforward I think. So anyone that had some math in school will be able to help. If you want PIVlab to be improved, then just invest some of your time please. Here is all the information with many images:

Working on sub 3k Euros PIV system NOW!

OPTOLUTION aims high and I am trying to make a complete PIV System (with laser, camera, synchronizer and software) in the range of 3k Euros. That is the price that you usually don't even get the PIV software for. We will see if it works out, but initial tests were already pretty promising. These are the specs I want to achieve: Illumination of a 200x300 mm area Max. velocity of 2 m/s 2 MP camera resolution 500 µs or 1 ms minimum interframe time 5 fps double-image framerate Fully integrated in PIVlabs image acquisition module Compatible with Matlab R2019b and later (Image Processing Toolbox required) Designed for Windows, but should also work with Apple and Linux If you are interested in this system, then let me know!

PIV like a PRO with PIVlab hardware!

 This video shows a demo of several PIVlab hardware features and image acquisition features. I developed all of this at , an it is available for sale there too.

Aerodynamics of a hot coffee cup

 Just for fun:

Free jet with 4 mm diameter: PIV test

PIVlab's acquisition module can now also control our wireless custom mini seeding generator (all hardware available through ). That means that a single button click in PIVlab starts the whole measurement. I could add more remote controlled devices to control other hardware via PIVlab too (e.g. start a motor, open a valve, or whatever). Here, I wanted to measure the flow velocity at the exit of the wireless mini seeding generator. Example images can be found below. The field of view in this experiment was about 11 * 9 mm, and the pipe is D6, d4 mm.

PIVlab Paper is out

 Finally, the new paper that is describing and validating some of PIVlabs new features is out:

Real-time PIV in PIVlab!

Today, I quickly tested if I can do real-time particle image velocimetry in PIVlab, and it works :D. Data rate is about 3 Hz, but the code is not optimized yet and running on a core i5 laptop:

PIVlab v2.50 with parallel processing and camera / laser control released! And: New tutorial videos.

At least for me, this is a great update as processing speed is improved quite a bit, and I can now capture image data and control our laser directly in PIVlab. Sooooo much easier to do experiments for our customers...! With some additional hardware, PIVlab can control a laser and a camera directly. Hardware is available at OPTOLUTION The new PIV acquisition panel - very comfortable and simple. PIVlab-SimpleSync with wireless USB dongle. I also recorded three new tutorial videos for PIVlab: PIVlab tutorial, part 1/3: Quickstart PIVlab tutorial, part 2/3: Pre-processing, analysis and data validation PIVlab tutorial, part 3/3: Data exploration and data export

PIVlab will soon capture images!

Soon, PIVlab will be more than just a PIV post-processing tool! I am currently implementing some additional features, so that PIVlab can control our laser and the camera directly. I am doing this, because we are using PIVlab for commercial services, and I want to have a PIV setup that is really handy in practice. I also developed a small synchronizer (see picture) that controls our Quantel Evergreen 200 PIV laser and synchronizes it with the ILA5150 PIV.Nano double-image camera. And this synchronizer (which is wireless by the way) is also controlled directly from PIVlab. Everything is as simple as it can get: Press a single button to start camera and laser, images will be saved to your hard disk and directly loaded into PIVlab. Awesome! If you want to have this too for your research, you'll need the PIVlab-SimpleSync ( ), the ILA5150 PIV.Nano camera, and a double-puls laser (e.g. Quantel EVG00070). The PIVlab-SimpleSync wireless synchronizer controls Lamp 1&2, Q

Most downloaded MATLAB toolbox on official Mathworks FileExchange!

 The amount of active PIVlab users is increasing constantly, and has now made PIVlab the most downloaded toolbox on FileExchange. And among the top 4 Toolboxes, PIVlab is the only one that is not made by a Mathworks employee. Hooray! By the way: I have added some useful features to PIVlab, and I'll record another PIV video tutorial that introduces these additions soon.

Comparison of OpenPIV and PIVlab

Since quite a while, I benefit from discussions with the main developer of OpenPIV (Prof. Alex Liberzon  from Tel Aviv University) and other people that contribute to OpenPIV. It is almost a bit like a cooperation, as we share thoughts on different topics, and Alex is really into practical and theoretical PIV application. I think we have a very friendly rivalry in developing useful PIV software. The results are available here: You will notice that they are very noisy. But we intentionally decided to make the analysis very challenging for our software. The final interrogation area is e.g. only 6*6 pixels, and no smoothing is allowed. I don't really see a difference between OpenPIV and PIVlab, which is probably a good sign. It might be interesting to include commercial software too in this comparison in the future. By the way: Happy New Year to all PIVlab users (and of course all OpenPIV users too ;-D). The year 2020 has been

PIVlab update v2.38

I made two updates to PIVlab in the last weeks, the latest release is 2.38. The following things were added: Video import functionality: PIVlab can directly work with video files now. Videos are not converted, but frames are directly accessed from the video stream. Vorticity direction was inverted (positive is now ccw) *.png files can be imported now The correlation coefficient is available in the derived parameters panel. It might be used as a measure for the quality of an analysis. I tested several different things, including correlation peak height vs. mean signal strength and ratio of first to second peak. I might make these available later, when I am played around with the data a bit more. Added the PIVlab Quickviewer, an additional GUI that helps to quickly tweak the setup of your experiment while you are recording your images. Image histograms are automatically optimized to get a better display. This can be disabled in "Modify plot appearance" The correlation coefficie

PIVlab is now on GitHub!

Since quite a while, Matlab File Exchange offers the opportunity to link to a GitHub repository. So I just created a PIVlab repository on GitHub, and changed the Matlab File Exchange site accordingly. I hope that this works out smoothly, and everyone benefits from this change! Here is the link to GitHub: And here is the modified File Exchange site:

Please support PIVlab!

If you like PIVlab, please donate for a beer here:

PIVlab Update v2.36

Ensemble correlation: Performance upgrade and bug fix (with old matlab versions) Saving huge PIVlab sessions (> 2GB) now works more reliable Enhanced compatibility with old Matlab releases Updated uipickfiles to latest version PIVlab more reliable remembers last folder and last import settings (PIVlab v2.35 contained a bug, so it was replaced with 2.36 instantly)

Vortex street analysis in 4k and 60 fps

This is some data that I recorded quite a while ago, but I just discovered it on a backup HDD. The output data of PIVlab was edited and rendered in high resolution. Click here to watch it in full resolution

PIVlab Update 2.31

PIVlab 2.31 is released: New features: Ensemble correlation with all the features of the existing algorithm (muti pass window deformation, repeated correlation, disabling self correlation, etc). Information here and here . Fixes: Quick acces toggle button status fixed Bug in a visibility property fixed Opening Shortcut PDF throws a more appropriate error message when it fails

The benefit of ensemble correlation in PIVlab v2.30

PIVlab v2.30 features 'multipass window deformation ensemble correlation'. This type of correlation has been introduced by Santiago et al.  in 1998. It is especially helpful in micron-resolution particle image velocimetry (micro-PIV, µPIV), as it can deal with very low seeding densities (see below). Ensemble correlation PIV should be used if you want to analyze a steady flow that has a low seeding density. You need to record a large number of images to have the full benefit of ensemble correlation in PIVlab. The yellow lines show the interrogation areas (IAs). The white dots are particles, and you can see that there are hardly any particles in the IAs. The general rule of thumb for PIV is that there should be 5 - 15 particles per IA. This is clearly not the case here. Standard PIV algorithms will fail. In order to get a better result, you would have to increase the size of the IAs dramatically. With ensemble correlation, PIVlab analyzes a series of sparsely seede

Soon: Ensemble correlation!

I am currently working on the implementation of ensemble correlation. This kind of correlation averages the correlation matrices of a frame series before searching for a peak. Using it makes sense, when there a only a few particles visible in the flow. This is often the case in micro-piv, and I hope that there will be many users that benefit from this feature. The changes to the GUI are finished, and I have a simple 1-pass ensemble correlation running. But I want to have the full potential of multi-pass window deformation algorithms with ensemble correlation. Implementation therefore takes a bit more time as there are some changes that challenge my brain. Additionally, most of the programming currently happens single handed because of my third daughter... Slow & cozy programming...