lab-on-chips (LOCs) offer several advantages over traditional approaches for studying biological models and evaluating drug efficacy. despite their small size, they present highly complex environments where significant chemical gradients are often confined to specific regions, either through intentional manipulation by researchers or generated by the cellular model itself. to address these challenges and gain deeper insights into biological mechanisms, integrating biosensors in the LOC becomes an appealing solution. In this research, we present a cost-effective, high-resolution stereolithographic technique to create small, widespread optical biosensors directly integrated into the lab-on-chip. to extract information from these sensors, we designed a custom multispectral light source, capable of capturing the optical signature of the field of view, coupled with a dedicated machine-learning algorithm. applying this approach, we successfully measured the pH in Human Embryonic Stem Cell (hESC) 3D cell cultures, a unique cell type that lacks a pH indicator in its medium. by analyzing local temporal pH trends across various experiments and different areas within the same experiments, we advanced our comprehension of cell-scale metabolic mechanisms and their impact on tissue/organ behavior.

Antonelli, G., Mencattini, A., Massimiani, M., Lacconi, V., Filippi, J., Losardo, M., et al. (2024). Development of integrated optical biosensors based on low-cost stereolithography fabrication and multispectral signature for Lab-On-Chip applications. SENSORS AND ACTUATORS. B, CHEMICAL, 401 [10.1016/j.snb.2023.135009].

Development of integrated optical biosensors based on low-cost stereolithography fabrication and multispectral signature for Lab-On-Chip applications

Antonelli G.;Mencattini A.;Massimiani M.;Lacconi V.;Filippi J.;Losardo M.;D'Orazio M.;Casti P.;Bragaglia M.;Curci G.;Campagnolo L.;Martinelli E.
2024-01-01

Abstract

lab-on-chips (LOCs) offer several advantages over traditional approaches for studying biological models and evaluating drug efficacy. despite their small size, they present highly complex environments where significant chemical gradients are often confined to specific regions, either through intentional manipulation by researchers or generated by the cellular model itself. to address these challenges and gain deeper insights into biological mechanisms, integrating biosensors in the LOC becomes an appealing solution. In this research, we present a cost-effective, high-resolution stereolithographic technique to create small, widespread optical biosensors directly integrated into the lab-on-chip. to extract information from these sensors, we designed a custom multispectral light source, capable of capturing the optical signature of the field of view, coupled with a dedicated machine-learning algorithm. applying this approach, we successfully measured the pH in Human Embryonic Stem Cell (hESC) 3D cell cultures, a unique cell type that lacks a pH indicator in its medium. by analyzing local temporal pH trends across various experiments and different areas within the same experiments, we advanced our comprehension of cell-scale metabolic mechanisms and their impact on tissue/organ behavior.
2024
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-INF/07
English
Lab-On-Chip
Machine learning
Multispectral imaging
Optical biosensors
Stereolithography
Antonelli, G., Mencattini, A., Massimiani, M., Lacconi, V., Filippi, J., Losardo, M., et al. (2024). Development of integrated optical biosensors based on low-cost stereolithography fabrication and multispectral signature for Lab-On-Chip applications. SENSORS AND ACTUATORS. B, CHEMICAL, 401 [10.1016/j.snb.2023.135009].
Antonelli, G; Mencattini, A; Massimiani, M; Lacconi, V; Filippi, J; Losardo, M; D'Orazio, M; Casti, P; Bragaglia, M; Curci, G; Nanni, F; Campagnolo, L; Martinelli, E
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/364104
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