Evidence map›Paper›PMID 38732976›Full record

ArticleSensors (Basel, Switzerland)2024

Technology Selection for Inline Topography Measurement with Rover-Borne Laser Spectrometers.

Conor Ryan, Tobias Haist, Gennadii Laskin, Susanne Schröder, Stephan Reichelt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Conor RyanInstitute for Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany.
Tobias HaistInstitute for Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany.
Gennadii LaskinDepartment of Production Control, Fraunhofer Institute for Physical Measurement Techniques IPM, 79110 Freiburg, Germany.
Susanne SchröderInstitute of Optical Sensor Systems, German Aerospace Center, 12489 Berlin, Germany.ORCID 0000-0003-1870-3663
Stephan ReicheltInstitute for Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany.ORCID 0000-0001-5556-0708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work studies enhancing the capabilities of compact laser spectroscopes integrated into space-exploration rovers by adding 3D topography measurement techniques. Laser spectroscopy enables the in situ analysis of sample composition, aiding in the understanding of the geological history of extraterrestrial bodies. To complement spectroscopic data, the inclusion of 3D imaging is proposed to provide unprecedented contextual information. The morphological information aids material characterization and hence the constraining of rock and mineral histories. Assigning height information to lateral pixels creates topographies, which offer a more complete spatial dataset than contextual 2D imaging. To aid the integration of 3D measurement into future proposals for rover-based laser spectrometers, the relevant scientific, rover, and sample constraints are outlined. The candidate 3D technologies are discussed, and estimates of performance, weight, and power consumptions guide the down-selection process in three application examples. Technology choice is discussed from different perspectives. Inline microscopic fringe-projection profilometry, incoherent digital holography, and multiwavelength digital holography are found to be promising candidates for further development.

Indexed as

3D imaginglaser spectroscopyLIBSRaman spectroscopyrover payloadspace explorationtopography

Identifiers

PMID38732976
PMCPMC11086144

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.