Autor: Joanna Rocznik

miDose Solutions at the 4th International Radiocarbon in the Environment Conference in Lecce, Italy

Posted on by Joanna Rocznik

miDose Solutions at the 4th International Radiocarbon in the Environment Conference in Lecce, Italy

miDose Solutions will be present at the 4th International Radiocarbon in the Environment Conference (RE IV) on 22-27 September 2024 in Lecce, Italy. We will be presenting our newest product, μGraphiline – a reliable and efficient system for sample combustion and graphitization in carbon dating, designed and patented by our team. During the Conference, you will have a chance to talk to our representatives there, ask questions and see μGraphiline personally.

We hope to see you there!

miDose Solutions at the UK Luminescence and ESR Meeting in Oxford, England

Posted on by Joanna Rocznik

miDose Solutions at the UK Luminescence and ESR Meeting in Oxford, England

miDose Solutions will be present at theUK Luminescence and ESR Meeting (UKLum 2024) on 11-13 September 2024 in Oxford, England. We will be presenting the new and enhanced μDOSE+ System, equipped with active and passive shielding, capable of measuring samples as small as < 0.5 g. You will have a chance to talk to our representatives, ask questions and see how the system works personally.

We hope to see you there!

A big thank you to Julie Durcan for providing the photo.

First publication on μDOSE+ capabilities is out

Posted on by Joanna Rocznik

First publication on μDOSE+ capabilities is out

The μDOSE+ System is an enhanced version of the recognised μDOSE System, which boasts numerous new features, described in detail in the just-published article by Tudyka et al. (2024).

The publication focusses closely on the key components that make the μDOSE+ System an advanced tool for radioactivity estimation: a unique triple scintillator setup (active shielding) to reduce background counts and improve the precision of dose rate measurements accuracy; additional ~59 kg of high purity copper shielding and optimised counting chamber geometry (passive shielding) for α and β counting efficiency increase; employment of pulse classification algorithms enhanced by UMAP/HDBSCAN* machine learning for precise differentiation between radiation particles and sensitivity enhancement; active 222Rn and 220Rn removal system to eliminate overcounting and allowing increased sample mass.

The reported advancements contribute to a significant reduction in background in the β counting window, improved α and β counting efficiency and easier sample handling.