{"id":24,"date":"2024-06-13T08:53:36","date_gmt":"2024-06-13T06:53:36","guid":{"rendered":"https:\/\/www-2024.biomicrolab.ing.uniroma2.it\/?page_id=24"},"modified":"2026-07-24T14:52:40","modified_gmt":"2026-07-24T12:52:40","slug":"pagina-di-prova","status":"publish","type":"page","link":"https:\/\/biomicrolab.ing.uniroma2.it\/?page_id=24","title":{"rendered":"Research"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong><u><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">MICROFLUIDIC IMPEDANCE CYTOMETRY (MIC)<\/mark><\/u><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Microfluidic impedance cytometry (MIC) is a label-free technique that characterizes individual flowing particles\/cells based on their interaction with a multifrequency electric field. For an introduction you can read our Tutorial Review <a href=\"https:\/\/doi.org\/10.1039\/d0lc00840k\" target=\"_blank\" rel=\"noreferrer noopener\">doi.org\/10.1039\/d0lc00840k<\/a>.<\/mark><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"508\" src=\"http:\/\/www-2024.biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC-1024x508.png\" alt=\"\" class=\"wp-image-206\" style=\"aspect-ratio:2.015877925559336;width:455px;height:auto\" srcset=\"https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC-1024x508.png 1024w, https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC-300x150.png 300w, https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC-768x381.png 768w, https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC-1536x761.png 1536w, https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC.png 1890w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-7387b849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Improving the technology<\/mark><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Over the years, we have developed several techniques to push MIC beyond its limits:<\/mark><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Improving <strong>measurement accuracy<\/strong> by compensation of <strong>position-induced blurring<\/strong> (e.g., <a href=\"https:\/\/doi.org\/10.1039\/c6lc01516f\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/c6lc01516f<\/a>, <a href=\"https:\/\/doi.org\/10.1016\/j.snb.2017.03.035\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.snb.2017.03.035<\/a>, <a href=\"https:\/\/doi.org\/10.1039\/c6lc00339g\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/c6lc00339g<\/a>, <a href=\"https:\/\/doi.org\/10.1016\/j.snb.2017.10.113\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.snb.2017.10.113<\/a>) and <strong>coincidence arbitration<\/strong> (<a href=\"https:\/\/doi.org\/10.1109\/TBME.2020.2995364\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TBME.2020.2995364<\/a>).<\/mark><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Enhancing <strong>multiparametric characterization<\/strong> capabilities by means of <strong>innovative cytometer designs<\/strong>. We enabled impedance-based sensing of cell\/particle <strong>trajectory<\/strong> (<a href=\"https:\/\/doi.org\/10.1007\/s10404-018-2055-3\" target=\"_blank\" rel=\"noreferrer noopener\">10.1007\/s10404-018-2055-3<\/a>, <a href=\"https:\/\/doi.org\/10.1039\/c9lc00071b\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/c9lc00071b<\/a>), <strong>shape<\/strong> (<a href=\"https:\/\/doi.org\/10.1039\/c4lc00221k\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/c4lc00221k<\/a>, <a href=\"https:\/\/doi.org\/10.1109\/JMEMS.2014.2325979\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/JMEMS.2014.2325979<\/a>, <a href=\"https:\/\/doi.org\/10.1109\/JMEMS.2010.2067204\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/JMEMS.2010.2067204<\/a>), <strong>deformability<\/strong> (<a href=\"https:\/\/doi.org\/10.1109\/TBME.2022.3197214\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TBME.2022.3197214<\/a>, <a href=\"https:\/\/doi.org\/10.1002\/smll.202570038\" target=\"_blank\" rel=\"noreferrer noopener\">10.1002\/smll.202570038<\/a>). &nbsp;&nbsp;&nbsp;<\/mark><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Addressing the longstanding <strong>high throughput vs high frequency-resolution<\/strong> challenge, demonstrating fast acquisition of thousands of single-cell impedance spectra at 14-frequencies with unprecedented resolution (<a href=\"https:\/\/doi.org\/10.1016\/j.bios.2026.118757\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.bios.2026.118757<\/a>).<\/mark><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">High-impact applications<\/mark><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">MIC has been successfully applied in different scenarios including life-science research, diagnostics, and environmental monitoring. Contributions from our group or within joint collaborations include:<\/mark><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Label-free analysis of <strong>cell viability<\/strong> (<a href=\"https:\/\/doi.org\/10.1016\/j.bios.2019.111887\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.bios.2019.111887<\/a>).<\/mark><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Rapid assessment of <strong>susceptibility<\/strong> of bacteria and erythrocytes to <strong>antimicrobial peptides<\/strong> (<a href=\"https:\/\/doi.org\/10.1021\/acssensors.3c00256\" target=\"_blank\" rel=\"noreferrer noopener\">10.1021\/acssensors.3c00256<\/a>).<\/mark><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Analysis of cells loaded in microcarriers called <strong>nanovials<\/strong>, for next generation single-cell analysis workflows (<a href=\"https:\/\/doi.org\/10.1039\/d4lc00002a\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/d4lc00002a<\/a>).<\/mark><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Selective and reconfigurable <strong>single-particle manipulation <\/strong>by means of an innovative all-electrical platform (<a href=\"https:\/\/doi.org\/10.1039\/d4lc00622d\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/d4lc00622d<\/a>).<\/mark><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Development of red blood cells (RBCs) as <strong>multimodal standard particles<\/strong> with systematically modulated subcellular electrophysiology (<a href=\"https:\/\/doi.org\/10.1021\/acs.analchem.1c04739\" target=\"_blank\" rel=\"noreferrer noopener\">10.1021\/acs.analchem.1c04739<\/a>).<\/mark><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">Electro-optical analysis of single nuclei towards <strong>metaphase enrichment<\/strong> for karyotyping (<a href=\"https:\/\/doi.org\/10.1002\/elps.8152\" target=\"_blank\" rel=\"noreferrer noopener\">10.1002\/elps.8152<\/a>) and electro-optical <strong>classification of<\/strong> <strong>pollen grains<\/strong> for environmental monitoring (<a href=\"https:\/\/doi.org\/10.1109\/tbme.2021.3109384\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TBME.2021.3109384<\/a>).<\/mark><\/li>\n<\/ul>\n\n\n\n<div style=\"height:42px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><u><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">MULTIFUNCTIONAL MICROFLUIDIC PLATFORMS<\/mark><\/u><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\"><strong>Microfluidic Impedance Cytometry <\/strong>(MIC) is a <strong>simple<\/strong> technique: it does not require labelling of the cell sample, the sensing element is just a microchannel with embedded electrodes, and the electronic acquisition system is suited for a portable implementation. Accordingly, the technique <strong>lends itself to being integrated with other microfluidic techniques<\/strong>, towards the development of multifunctional systems.<\/mark><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">For an overview of the fascinating opportunities enabled by such integration, you can read our Review <a href=\"https:\/\/doi.org\/10.1039\/d4lc00957f\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/d4lc00957f<\/a>, which also includes several works form our group!<\/mark><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1472\" height=\"1104\" src=\"http:\/\/www-2024.biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC_multisys.png\" alt=\"\" class=\"wp-image-205\" style=\"width:680px;height:auto\" srcset=\"https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC_multisys.png 1472w, https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC_multisys-300x225.png 300w, https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC_multisys-1024x768.png 1024w, https:\/\/biomicrolab.ing.uniroma2.it\/wp-content\/uploads\/2026\/07\/MIC_multisys-768x576.png 768w\" sizes=\"auto, (max-width: 1472px) 100vw, 1472px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><u><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">WHERE AI MEETS LAB-ON-A-CHIP<\/mark><\/u><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-black-color\">The <strong>synergistic convergence<\/strong> of <strong>microfluidics<\/strong> and <strong>machine learning<\/strong> is expected to play a game-changing role in cell analysis and manipulation. Machine learning potentially enables the development of intelligent microfluidic platforms operated by data-driven models and characterised by increased automation. Within this framework, our group <strong>pioneered<\/strong> the application of machine learning to <strong>impedance cytometry<\/strong> (<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00216-020-02497-9\" target=\"_blank\" rel=\"noreferrer noopener\">10.1007\/s00216-020-02497-9<\/a>). Specifically, we focused on the analysis of <strong>raw impedance signals<\/strong> in <strong>challenging<\/strong> <strong>scenarios<\/strong> (<a href=\"https:\/\/doi.org\/10.1039\/d2lc00028h\" target=\"_blank\" rel=\"noreferrer noopener\">10.1039\/d2lc00028h<\/a>) and we addressed the crucial question of <strong>cross-setup generalizability<\/strong> within the first multi-centre study (<a href=\"https:\/\/doi.org\/10.1109\/TBME.2026.3694594\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/TBME.2026.3694594<\/a>).<\/mark><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Questo \u00e8 il riassunto della pagina<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-24","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=\/wp\/v2\/pages\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24"}],"version-history":[{"count":25,"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=\/wp\/v2\/pages\/24\/revisions"}],"predecessor-version":[{"id":251,"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=\/wp\/v2\/pages\/24\/revisions\/251"}],"wp:attachment":[{"href":"https:\/\/biomicrolab.ing.uniroma2.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}