{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T09:23:48Z","timestamp":1767864228877,"version":"3.49.0"},"reference-count":7,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["J. Phys.: Conf. Ser."],"published-print":{"date-parts":[[2022,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Optical trapping provides a way to isolate, manipulate, and probe a wide range of microscopic particles. Moreover, as particle dynamics are strongly affected by their shape and composition, optical tweezers can also be used to identify and classify particles, paving the way for multiple applications such as intelligent microfluidic devices for personalized medicine purposes, or integrated sensing for bioengineering. In this work, we explore the possibility of using properties of the forward scattered radiation of the optical trapping beam to analyze properties of the trapped specimen and deploy an autonomous classification algorithm. For this purpose, we process the signal in the Fourier domain and apply a dimensionality reduction technique using UMAP algorithms, before using the reduced number of features to feed standard machine learning algorithms such as K-nearest neighbors or random forests. Using a stratified 5-fold cross-validation procedure, our results show that the implemented classification strategy allows the identification of particle material with accuracies up to 80%, demonstrating the potential of using signal processing techniques to probe properties of optical trapped particles based on the forward scattered light. Furthermore, preliminary results of an autonomous implementation in a standard experimental optical tweezers setup show similar differentiation capabilities for real-time applications, thus opening some opportunities towards technological applications such as intelligent microfluidic devices and solutions for biochemical and biophysical sensing.<\/jats:p>","DOI":"10.1088\/1742-6596\/2407\/1\/012043","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T18:35:03Z","timestamp":1671129303000},"page":"012043","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards real-time identification of trapped particles with UMAP-based classifiers"],"prefix":"10.1088","volume":"2407","author":[{"given":"Joana","family":"Teixeira","sequence":"first","affiliation":[]},{"given":"Vicente","family":"Rocha","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Oliveira","sequence":"additional","affiliation":[]},{"given":"Pedro A. S.","family":"Jorge","sequence":"additional","affiliation":[]},{"given":"Nuno A.","family":"Silva","sequence":"additional","affiliation":[]}],"member":"266","reference":[{"key":"JPCS_2407_1_012043bib1","doi-asserted-by":"crossref","first-page":"055207","DOI":"10.1088\/1361-6501\/abd5f1","article-title":"Single-particle optical-trapping raman spectroscopy for the detection and identifcation of aerosolized airborne biological particles","volume":"32","author":"Ai","year":"2021","journal-title":"Measurement Science and Technology"},{"key":"JPCS_2407_1_012043bib2","doi-asserted-by":"crossref","first-page":"6181","DOI":"10.3390\/s21186181","article-title":"Particle classifcation through the analysis of the forward scattered signal in optical tweezers","volume":"21","author":"Carvalho","year":"2021","journal-title":"Sensors"},{"key":"JPCS_2407_1_012043bib3","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.3390\/diagnostics11081309","article-title":"Forecasting covid-19 severity by intelligent optical fngerprinting of blood samples","volume":"11","author":"Faria","year":"2021","journal-title":"Diagnostics"},{"key":"JPCS_2407_1_012043bib4","doi-asserted-by":"crossref","first-page":"100178","DOI":"10.1016\/j.rio.2021.100178","article-title":"Classifcation of optically trapped particles: A comparison between optical fber tweezers and conventional setups","volume":"5","author":"Jorge","year":"2021","journal-title":"Results in Optics"},{"key":"JPCS_2407_1_012043bib5","article-title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","author":"McInnes","year":"2018"},{"key":"JPCS_2407_1_012043bib6","first-page":"1","article-title":"ilof: An intelligent lab on fber approach for human cancer single-cell type identifcation","volume":"10","author":"Paiva","year":"2020","journal-title":"Scientifc reports"},{"key":"JPCS_2407_1_012043bib7","doi-asserted-by":"crossref","first-page":"3656","DOI":"10.1039\/c1lc20653b","article-title":"Enhanced cell sorting and manipulation with combined optical tweezer and microfuidic chip technologies","volume":"11","author":"Wang","year":"2011","journal-title":"Lab on a Chip"}],"container-title":["Journal of Physics: Conference Series"],"original-title":[],"link":[{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/2407\/1\/012043","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/2407\/1\/012043\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/2407\/1\/012043\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/2407\/1\/012043\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T18:35:10Z","timestamp":1671129310000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/2407\/1\/012043"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":7,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12,1]]}},"URL":"https:\/\/doi.org\/10.1088\/1742-6596\/2407\/1\/012043","relation":{},"ISSN":["1742-6588","1742-6596"],"issn-type":[{"value":"1742-6588","type":"print"},{"value":"1742-6596","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,1]]},"assertion":[{"value":"Towards real-time identification of trapped particles with UMAP-based classifiers","name":"article_title","label":"Article Title"},{"value":"Journal of Physics: Conference Series","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"Published under licence by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}