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Much has been done to minimize its value via probe optimization and correction of readout artifacts, but little effort was put into a better exploitation of calibration datasets. In this context, this work aims at providing a new perspective on the definition of luminescence-based thermometric parameters using dimensionality reduction techniques that emerged in the last years. The application of linear (Principal Component Analysis) and non-linear (t-distributed Stochastic Neighbor Embedding) transformations to the calibration datasets obtained from rare-earth nanoparticles and semiconductor nanocrystals resulted in an improvement in thermal resolution compared to the more classical intensity-based and ratiometric approaches. This, in turn, enabled precise monitoring of temperature changes smaller than 0.1 \u00b0C. The methods here presented allow choosing superior thermometric parameters compared to the more classical ones, pushing the performance of luminescent thermometers close to the experimentally achievable limits.<\/jats:p>","DOI":"10.1038\/s41377-022-00932-3","type":"journal-article","created":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T22:17:23Z","timestamp":1658960243000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":80,"title":["Less is more: dimensionality reduction as a general strategy for more precise luminescence thermometry"],"prefix":"10.1038","volume":"11","author":[{"given":"Erving","family":"Ximendes","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3270-892X","authenticated-orcid":false,"given":"Riccardo","family":"Marin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4747-6535","authenticated-orcid":false,"given":"Luis Dias","family":"Carlos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3225-0667","authenticated-orcid":false,"given":"Daniel","family":"Jaque","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"932_CR1","doi-asserted-by":"crossref","unstructured":"Marquardt, M. 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