By Team IOS, Thursday March 25, 2021

Second Strike!


Done, published! This scientific publication, the second of a series dealing with the application of our automated mineralogy techniques to drift prospection, is published and available for downloading. This second paper discuss why increasing the gold grain counts in till survey is important and how it improve the significance of the results. The concept is simple: the variation coefficient induced by the intrinsic variability affectic the sample is a square root function of the average number of counts in a group of sample. Hence, higher are the counts, better is the signal to noise ratio. Higher is this ratio, better is the contrast between anomalies and regional signal, and more confident we can be in regard of the meaning of subtle anomalies. Practically, this means either smaller samples to collect, or more loosely spaced samples. Hence, lower overall survey cost and higher success rate! Isn't what the industry needs?


The paper, authored by our team is now available for downloading from "Minerals" peer-reviewed journal at the following link, and will be included in a special edition on "The Application of Automated SEM-Based Identification of Detrital, Diagenetic and Indicator Mineral Phases"


Download at:


''There are those who follow the rules... and those who define them''


Back scattered electron image of gold grains recovered from a single till sample, collected in Shebadowan area, west of Thunder Bay. Who would doubt that this is a genuine proximal signal?

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