Federica Caselli
Università degli Studi di Roma Tor Vergata
H-index: 21
Europe-Italy
Top articles of Federica Caselli
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Numerical and experimental characterization of a piezoelectric actuator for microfluidic cell sorting | Sensors and Actuators A: Physical | Cristian Brandi Adele De Ninno Enrico Verona Luca Businaro Paolo Bisegna | 2024/3/1 |
Rapid assessment of susceptibility of bacteria and erythrocytes to antimicrobial peptides by single-cell impedance cytometry | ACS sensors | Cassandra Troiano Adele De Ninno Bruno Casciaro Francesco Riccitelli Yoonkyung Park | 2023/7/8 |
Wurtzite nanowires strain control by DC electrical stimulation | Engineering Science and Technology, an International Journal | Giuseppe Prestopino Pier Gianni Medaglia David Scarpellini Sergio Bietti Pietro Oliva | 2023/5/1 |
Multichannel Impedance Cytometry Downstream of Cell Separation by Deterministic Lateral Displacement to Quantify Macrophage Enrichment in Heterogeneous Samples (Adv. Mater … | Advanced Materials Technologies | Karina Torres‐Castro Javad Jarmoshti Li Xiao Aditya Rane Armita Salahi | 2023/4 |
Extensional-flow impedance cytometer for contactless and optics-free erythrocyte deformability analysis | IEEE Transactions on Biomedical Engineering | Riccardo Reale Adele De Ninno Tiziana Nepi Paolo Bisegna Federica Caselli | 2022/8/8 |
Devices and applications at the micro-and nanoscale | Lab Chip | Morgan N Greenleaf Eric Nehl Gregory L Damhorst Wilbur A Lam Pengfei Zhang | 2023 |
Modified red blood cells as multimodal standards for benchmarking single-cell cytometry and separation based on electrical physiology | Analytical Chemistry | Armita Salahi Carlos Honrado Aditya Rane Federica Caselli Nathan S Swami | 2022/2/2 |
Deciphering impedance cytometry signals with neural networks | Lab on a Chip | Federica Caselli Riccardo Reale Adele De Ninno Daniel Spencer Hywel Morgan | 2022 |
Single-cell electrical characterization | Jonathan Cottet Federica Caselli | 2022/1/1 | |
Electro-optical classification of pollen grains via microfluidics and machine learning | IEEE Transactions on Biomedical Engineering | Michele D'Orazio Riccardo Reale Adele De Ninno Maria A Brighetti Arianna Mencattini | 2021/9/3 |
Single-cell microfluidic impedance cytometry: From raw signals to cell phenotypes using data analytics | Carlos Honrado Paolo Bisegna Nathan S Swami Federica Caselli | 2021 | |
Machine learning-enabled high-speed impedance cytometry | F Caselli A de Ninno R Reale L Businaro P Bisegna | 2020 | |
A hyperbolic microfluidic impedance chip for deformability cytometry | R Reale A de Ninno L Businaro P Bisegna F Caselli | 2020 | |
Bioanalytics and higher order electrokinetics | Analytical and bioanalytical chemistry | Mark A Hayes Federica Caselli | 2020/6 |
3D particle localization in a microfluidic impedance cytometer | R Reale A De Ninno V Errico L Businaro P Bisegna | 2020 | |
A Bayesian approach for coincidence resolution in microfluidic impedance cytometry | IEEE Transactions on Biomedical Engineering | Federica Caselli Adele De Ninno Riccardo Reale Luca Businaro Paolo Bisegna | 2020/5/18 |
A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry | Analytical and bioanalytical chemistry | Carlos Honrado John S McGrath Riccardo Reale Paolo Bisegna Nathan S Swami | 2020/6 |
High-throughput label-free characterization of viable, necrotic and apoptotic human lymphoma cells in a coplanar-electrode microfluidic impedance chip | Biosensors and Bioelectronics | Adele De Ninno Riccardo Reale Alessandro Giovinazzo Francesca R Bertani Luca Businaro | 2020/2/15 |
