Scanning the Stone.

Bibliographic Details
Title:	Scanning the Stone.
Authors:	BLUESTEIN, ADAM (AUTHOR)
Source:	Scientific American. May2026, Vol. 334 Issue 5, p22-25. 4p. 2 Color Photographs.
Subject Terms:	Real-time computing, Mine safety, Imaging systems in geophysics, Imaging systems, Rare earth metals, Geophysical observations, Mines & mineral resources
Abstract:	The article focuses on the mining industry's adoption of muon tomography, a subatomic-particle sensing technology, to improve subsurface imaging for deeper and more efficient extraction of critical minerals. Muons, produced by cosmic rays, penetrate deep underground and enable high-resolution, three-dimensional mapping of rock density, which is crucial for managing risks and productivity in block caving—a cost-effective underground mining method used for lower-grade ore deposits. Canadian start-up Ideon Technologies has miniaturized muon detectors for field use and integrates their data with other geophysical measurements in a dynamic Earth model called Reveal, enhancing real-time monitoring of underground conditions. This technology aims to reduce uncertainties in ore extraction, improve safety by detecting voids and faults, and support the expansion of existing mines, such as Rio Tinto’s Kennecott Mine, amid rising global demand for critical minerals. [Extracted from the article]
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Database:	Business Source Index

FullText	Text: Availability: 0
Header	DbId: bsx DbLabel: Business Source Index An: 192712870 RelevancyScore: 1407 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 1406.61413574219
IllustrationInfo
Items	– Name: Title Label: Title Group: Ti Data: Scanning the Stone. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22BLUESTEIN%2C+ADAM%22">BLUESTEIN, ADAM</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+American%22">Scientific American</searchLink>. May2026, Vol. 334 Issue 5, p22-25. 4p. 2 Color Photographs. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Mine+safety%22">Mine safety</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems+in+geophysics%22">Imaging systems in geophysics</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems%22">Imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Rare+earth+metals%22">Rare earth metals</searchLink><br /><searchLink fieldCode="DE" term="%22Geophysical+observations%22">Geophysical observations</searchLink><br /><searchLink fieldCode="DE" term="%22Mines+%26+mineral+resources%22">Mines & mineral resources</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on the mining industry's adoption of muon tomography, a subatomic-particle sensing technology, to improve subsurface imaging for deeper and more efficient extraction of critical minerals. Muons, produced by cosmic rays, penetrate deep underground and enable high-resolution, three-dimensional mapping of rock density, which is crucial for managing risks and productivity in block caving—a cost-effective underground mining method used for lower-grade ore deposits. Canadian start-up Ideon Technologies has miniaturized muon detectors for field use and integrates their data with other geophysical measurements in a dynamic Earth model called Reveal, enhancing real-time monitoring of underground conditions. This technology aims to reduce uncertainties in ore extraction, improve safety by detecting voids and faults, and support the expansion of existing mines, such as Rio Tinto’s Kennecott Mine, amid rising global demand for critical minerals. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Scientific American is the property of Scientific American and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo	BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 22 Subjects: – SubjectFull: Real-time computing Type: general – SubjectFull: Mine safety Type: general – SubjectFull: Imaging systems in geophysics Type: general – SubjectFull: Imaging systems Type: general – SubjectFull: Rare earth metals Type: general – SubjectFull: Geophysical observations Type: general – SubjectFull: Mines & mineral resources Type: general Titles: – TitleFull: Scanning the Stone. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: BLUESTEIN, ADAM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00368733 Numbering: – Type: volume Value: 334 – Type: issue Value: 5 Titles: – TitleFull: Scientific American Type: main
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