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L Businaro

Showing results (1-10 of 6) with videos related to

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Analytical Chemistry|April 25, 2012
Infrared microspectroscopy of live cells in microfluidic devices (MD-IRMS): toward a powerful label-free cell-based assayL Vaccari, G Birarda, L Businaro, et al.
Bioinspiration & Biomimetics|February 5, 2016
Recent advances in superhydrophobic surfaces and their relevance to biology and medicineG Ciasca, M Papi, L Businaro, et al.
Nanotechnology|November 16, 2013
Self-assembling of large ordered DNA arrays using superhydrophobic patterned surfacesG Ciasca, L Businaro, M Papi, et al.
Scientific Reports|May 3, 2019
The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applicationsM C Comes, P Casti, A Mencattini, et al.
Scientific Reports|May 8, 2020
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatmentsA Mencattini, D Di Giuseppe, M C Comes, et al.
Scientific Reports|September 25, 2020
Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial NetworkMaria Colomba Comes, J Filippi, A Mencattini, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Analytical Chemistry|April 25, 2012
Infrared microspectroscopy of live cells in microfluidic devices (MD-IRMS): toward a powerful label-free cell-based assayL Vaccari, G Birarda, L Businaro, et al.
Bioinspiration & Biomimetics|February 5, 2016
Recent advances in superhydrophobic surfaces and their relevance to biology and medicineG Ciasca, M Papi, L Businaro, et al.
Nanotechnology|November 16, 2013
Self-assembling of large ordered DNA arrays using superhydrophobic patterned surfacesG Ciasca, L Businaro, M Papi, et al.
Scientific Reports|May 3, 2019
The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applicationsM C Comes, P Casti, A Mencattini, et al.
Scientific Reports|May 8, 2020
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatmentsA Mencattini, D Di Giuseppe, M C Comes, et al.
Scientific Reports|September 25, 2020
Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial NetworkMaria Colomba Comes, J Filippi, A Mencattini, et al.
Pageof 1