Dear DutLUG community,
We're excited to announce the agenda for the upcoming DutLUG meeting in September 2026!
Please note that all presentations will be delivered in person. We will not be recording or live streaming the event.
The first presentation will be in English, as usual. The second presentation will be in Dutch.
Stay healthy and see you all soon!
18:00 - Bas van Etten & Maarten Scherjon - Toolchain for Redefining the LabVIEW UI
Creating modern, visually appealing UIs in LabVIEW can be challenging, but it doesn’t have to be. In this session, we show our complete workflow, from client requirements to a polished application.
Discover how our subpanel-based framework enables modular, dynamic interfaces, and how WebViews bring modern visuals, animations, and functionality beyond native LabVIEW. We also demonstrate our AI-assisted design process, using Google Stitch and Figma to rapidly create and implement professional UI designs.
Leave with practical insights into dynamic UI architecture, AI-driven design, and WebView integration to build LabVIEW applications that stand out.
19:00 - Paul Verheggen - LabVIEW powered by Lua
A simple interface class between LabVIEW and Lua (https://www.lua.org/start.html) or Pluto (https://pluto-lang.org/docs/Introduction). It enables LabVIEW VIs to call Lua functions and Lua to call LabVIEW VIs. Data passed between LabVIEW and Lua is automatically translated, which greatly simplifies the process of extending and/or changing the behaviour of a LabVIEW application.
Life Demo Setup - Natan Biesmans - RF Demo with Full Inline Analysis
A PXIe-5840 at full 1 GHz instantaneous bandwidth produces roughly 5 GB/s of continuous IQ. Acquiring it is the easy part. Analyzing every sample, displaying it, and keeping it on disk without dropping anything is where systems fall over.
This live demo of one PXIe chassis doing all three at rate: acquisition on the PXIe-5840, FFT analysis on a RADX PXIe-GPU at over 150,000 transforms per second or 4M-point transforms at ~300 Hz resolution across the full span. GPU-rendered visualization straight out of device memory, and continuous recording to a RADX Venturi PXIe-SSD.
Everything you will see is a LabVIEW application built from off-the-shelf parts: COTS PXIe modules, shipping toolkits, standard drivers. No custom FPGA code, no hand-written CUDA, no C wrappers, no bespoke hardware. Transform sizes and rates like these are impractical on FPGA and impossible on the host CPU. Yet simply possible in LabVIEW.
