Author

Salli Pääkkönen

University of JyväskyläORCID 0000-0002-2548-0835Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Katja PulkkineniD· 1 shared Marco L. CalderiniiD· 1 shared Pauliina SalmiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Aliisa Yli-Tuomola

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

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

Marco L. Calderini, Salli Pääkkönen, Aliisa Yli-Tuomola, Hemanta Timilsina, Katja Pulkkinen, Ilkka Pölönen, 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.

Algal Research · Feb 25, 2025Peer-reviewedBioinformatics