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Perini G, Rosa E, Friggeri G, Di Pietro L, Barba M, Parolini O, Ciasca G, Moriconi C, Papi M, De Spirito M, et al. INSIDIA 2.0 High-Throughput Analysis of 3D Cancer Models: Multiparametric Quantification of Graphene Quantum Dots Photothermal Therapy for Glioblastoma and Pancreatic Cancer. International Journal of Molecular Sciences. 2022; 23(6):3217. https://doi.org/10.3390/ijms23063217

Perini, Giordano, Enrico Rosa, Ginevra Friggeri, Lorena Di Pietro, Marta Barba, Ornella Parolini, Gabriele Ciasca, Chiara Moriconi, Massimiliano Papi, Marco De Spirito, and et al. 2022. "INSIDIA 2.0 High-Throughput Analysis of 3D Cancer Models: Multiparametric Quantification of Graphene Quantum Dots Photothermal Therapy for Glioblastoma and Pancreatic Cancer" International Journal of Molecular Sciences 23, no. 6: 3217. https://doi.org/10.3390/ijms23063217

Perini, G., Rosa, E., Friggeri, G., Di Pietro, L., Barba, M., Parolini, O., Ciasca, G., Moriconi, C., Papi, M., De Spirito, M., & Palmieri, V. (2022). INSIDIA 2.0 High-Throughput Analysis of 3D Cancer Models: Multiparametric Quantification of Graphene Quantum Dots Photothermal Therapy for Glioblastoma and Pancreatic Cancer. International Journal of Molecular Sciences, 23(6), 3217. https://doi.org/10.3390/ijms23063217