Segui
Federica Caselli
Federica Caselli
Associate Professor, University of Rome Tor Vergata, Italy
Email verificata su ing.uniroma2.it - Home page
Titolo
Citata da
Citata da
Anno
Mammographic images enhancement and denoising for breast cancer detection using dyadic wavelet processing
A Mencattini, M Salmeri, R Lojacono, M Frigerio, F Caselli
IEEE transactions on instrumentation and measurement 57 (7), 1422-1430, 2008
3252008
Single-cell microfluidic impedance cytometry: From raw signals to cell phenotypes using data analytics
C Honrado, P Bisegna, NS Swami, F Caselli
Lab on a Chip 21 (1), 22-54, 2021
1272021
Coplanar electrode microfluidic chip enabling accurate sheathless impedance cytometry
A De Ninno, V Errico, FR Bertani, L Businaro, P Bisegna, F Caselli
Lab on a Chip 17 (6), 1158-1166, 2017
852017
High accuracy particle analysis using sheathless microfluidic impedance cytometry
D Spencer, F Caselli, P Bisegna, H Morgan
Lab on a Chip 16 (13), 2467-2473, 2016
842016
An impedance-based flow microcytometer for single cell morphology discrimination
M Shaker, L Colella, F Caselli, P Bisegna, P Renaud
Lab on a Chip 14 (14), 2548-2555, 2014
802014
A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry
C Honrado, JS McGrath, R Reale, P Bisegna, NS Swami, F Caselli
Analytical and Bioanalytical Chemistry 412, 3835-3845, 2020
662020
High-throughput label-free characterization of viable, necrotic and apoptotic human lymphoma cells in a coplanar-electrode microfluidic impedance chip
A De Ninno, R Reale, A Giovinazzo, FR Bertani, L Businaro, P Bisegna, ...
Biosensors and Bioelectronics 150, 111887, 2020
632020
A novel wiring scheme for standard chips enabling high-accuracy impedance cytometry
F Caselli, A De Ninno, R Reale, L Businaro, P Bisegna
Sensors and Actuators B: Chemical 256, 580-589, 2018
612018
Mitigating positional dependence in coplanar electrode Coulter-type microfluidic devices
V Errico, A De Ninno, FR Bertani, L Businaro, P Bisegna, F Caselli
Sensors and Actuators B: Chemical 247, 580-586, 2017
612017
High-throughput electrical position detection of single flowing particles/cells with non-spherical shape
R Reale, A De Ninno, L Businaro, P Bisegna, F Caselli
Lab on a Chip 19 (10), 1818-1827, 2019
392019
EIT-inspired microfluidic cytometer for single-cell dielectric spectroscopy
F Caselli, P Bisegna, F Maceri
Journal of Microelectromechanical Systems 19 (5), 1029-1040, 2010
392010
Deciphering impedance cytometry signals with neural networks
F Caselli, R Reale, A De Ninno, D Spencer, H Morgan, P Bisegna
Lab on a Chip 22 (9), 1714-1722, 2022
362022
Polar decomposition based corotational framework for triangular shell elements with distributed loads
F Caselli, P Bisegna
International journal for numerical methods in engineering 95 (6), 499-528, 2013
352013
A simple and robust event-detection algorithm for single-cell impedance cytometry
F Caselli, P Bisegna
IEEE Transactions on Biomedical Engineering 63 (2), 415-422, 2015
342015
Mass contour extraction in mammographic images for breast cancer identification
G Rabottino, A Mencattini, M Salmeri, F Caselli, R Lojacono
16th IMEKO TC4 Symposium, Exploring New Frontiers of Instrumentation and…, 2008
292008
Modified red blood cells as multimodal standards for benchmarking single-cell cytometry and separation based on electrical physiology
A Salahi, C Honrado, A Rane, F Caselli, NS Swami
Analytical Chemistry 94 (6), 2865-2872, 2022
282022
Performance evaluation of a region growing procedure for mammographic breast lesion identification
G Rabottino, A Mencattini, M Salmeri, F Caselli, R Lojacono
Computer Standards & Interfaces 33 (2), 128-135, 2011
282011
Electrical measurement of cross-sectional position of particles flowing through a microchannel
R Reale, A De Ninno, L Businaro, P Bisegna, F Caselli
Microfluidics and Nanofluidics 22, 1-13, 2018
272018
An innovative iterative thresholding algorithm for tumour segmentation and volumetric quantification on SPECT images: Monte Carlo‐based methodology and validation
M Pacilio, C Basile, S Shcherbinin, F Caselli, G Ventroni, D Aragno, ...
Medical physics 38 (6Part1), 3050-3061, 2011
272011
Electro-optical classification of pollen grains via microfluidics and machine learning
M D'Orazio, R Reale, A De Ninno, MA Brighetti, A Mencattini, L Businaro, ...
IEEE Transactions on Biomedical Engineering 69 (2), 921-931, 2021
232021
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20