Case Study: Australian National University achieves real-time 3D blood-clot imaging and cuts analysis time from days to hours with MathWorks (MATLAB)

Australian National University Researchers Create 3D Views of Blood Clot Formation

Australian National University researchers needed to capture and analyze dynamic, micron‑scale blood clot formation from a digital holographic microscope and present results in a simple interface for biologists without programming experience. To meet that challenge they turned to MathWorks, using MATLAB along with Image Acquisition Toolbox, Image Processing Toolbox, and MATLAB Compiler to acquire camera data, reconstruct optical digital holograms, and build a usable application.

MathWorks’ MATLAB‑based solution automated image acquisition (up to 50 fps), implemented an FFT‑based adaptive filtering and corrective masking pipeline, and provided an interactive GUI compiled as a standalone app for nonprogrammers. The result: sample analysis time dropped from days to hours, development time was reduced by months, and ANU now runs multiple DHM setups with streamlined batch processing and broader access to research tools across the campus.

Australian National University

Woei Ming (Steve) Lee

Research Group Leader