Resources and articles

The Aivaro AI Feature Detection software module enables fast manual microscope inspection of particulate contamination on various material samples. By training different classes, reflective particles, non-reflective particles and fibers can be detected, counted, measured and documented within seconds.

AI is rapidly changing industrial inspection, quality control, and manufacturing workflows. But not all AI technologies work the same way. From machine learning and deep learning to the newer concept of edge learning, each approach offers different advantages for data requirements, deployment, speed, and ease of use. Understanding these differences is key to choosing the righ...

AI-based visual inspection with microscopy helps make quality control in industrial environments efficient by reducing manual inspection effort concerning defect detection, classification, and analysis. In addition, there is improved reproducibility for defect detection. It reduces operator-dependent variability and enables more consistent decisions across inspection workflow...

The next wave of QC productivity gains will not come from building more automated inspection lines. Instead, it will come from augmenting millions of inspection decisions that are made manually every day.

DIEP flap breast reconstruction is an autologous microsurgical procedure that depends on precise vessel dissection, anastomosis and perfusion assessment [1]. This article discusses how surgical microscopy and ICG with fluorescence imaging can support visualization[JB15.1], perfusion evaluation[JB16.1], workflow and team coordination during complex reconstructive microsurgery....