Author

Katja Pulkkinen

University of JyväskyläORCID 0000-0002-1480-2464Unclaimed ORCID profile · follow to get notified of new preprints

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Katja Pulkkinen1 paper

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aliisa Yli-Tuomola· 1 shared Hemanta TimilsinaiD· 1 shared Ilkka PölöneniD· 1 shared Marco L. CalderiniiD· 1 shared Pauliina SalmiiD· 1 shared Salli PääkköneniD· 1 shared

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2025-2025 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Aliisa Yli-Tuomola

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1 paper

Recent·Most cited

BioinformaticsAlgal ResearchPeer-reviewedFeb 25, 2025

Accurate non-invasive quantification of astaxanthin content using hyperspectral images and machine learning

Marco L. Calderini, Salli Pääkkönen, Aliisa Yli-Tuomola…·Pauliina Salmi

This study uses hyperspectral imaging and a 1D CNN to accurately predict astaxanthin content in microalgae suspensions, outperforming traditional methods with low prediction error.

12 citationstop 4%

imagingmachine learning (classical)

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