Cargando…
Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial Network
The incremented uptake provided by time-lapse microscopy in Organ-on-a-Chip (OoC) devices allowed increased attention to the dynamics of the co-cultured systems. However, the amount of information stored in long-time experiments may constitute a serious bottleneck of the experimental pipeline. Forwa...
Autores principales: | Comes, Maria Colomba, Filippi, J., Mencattini, A., Corsi, F., Casti, P., De Ninno, A., Di Giuseppe, D., D’Orazio, M., Ghibelli, L., Mattei, F., Schiavoni, G., Businaro, L., Di Natale, C., Martinelli, E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519062/ https://www.ncbi.nlm.nih.gov/pubmed/32973301 http://dx.doi.org/10.1038/s41598-020-72605-3 |
Ejemplares similares
-
Deciphering Cancer Cell Behavior From Motility and Shape Features: Peer Prediction and Dynamic Selection to Support Cancer Diagnosis and Therapy
por: D'Orazio, Michele, et al.
Publicado: (2020) -
A Camera Sensors-Based System to Study Drug Effects on In Vitro Motility: The Case of PC-3 Prostate Cancer Cells
por: Comes, Maria Colomba, et al.
Publicado: (2020) -
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments
por: Mencattini, A., et al.
Publicado: (2020) -
Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis
por: Mencattini, A., et al.
Publicado: (2023) -
The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applications
por: Comes, M. C., et al.
Publicado: (2019)