design6507

Key takeaways OFDA is an optical image-analysis method recognised by IWTO for wool that can be applied to many natural and synthetic fibres with appropriate preparation, delivering rapid, distribution-level metrics (mean micron, SD, curvature). ( Woolwise ) Emerging peer-reviewed work shows OFDA’s applicability to hemp  and cotton , complementing existing methods used for bast fibres. ( tandfonline.com ) In alpaca , objective micron and curvature data support grading and breeding decisions,...

Key takeaways Objective, real-time data:  OFDA2000 measures fibre diameter and distribution on-farm in seconds, enabling decisions during shearing and selection. ( OFDA ) Better classing and preparation:  Using objective measures (micron, CV, comfort factor) helps build more uniform, market-aligned lines. ( awtawooltesting.com.au ) Support breeding choices:  Pair OFDA measurements with EBVs/ASBVs to select rams and ewes for target micron and lower variation over time. ( Sheep Genetics )...

Introduction Demand for faster, more accurate wool testing is rising across the supply chain. The OFDA4000, an Optical Fibre Diameter Analyzer developed by Robotic Vision (OFDA) brings automated imaging and analysis together to streamline laboratory workflows for tops and slivers. Traditional methods such as projection microscopy, Laserscan and Almeter have served the industry well but can be slower and more labour-intensive. This post explains where the OFDA4000 fits, how it works, and when...