Search Results - "CASTI, P"

Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response by D’Orazio, M., Murdocca, M., Mencattini, A., Casti, P., Filippi, J., Antonelli, G., Di Giuseppe, D., Comes, M. C., Di Natale, C., Sangiuolo, F., Martinelli, E.

“…High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformatics approaches that enable the use of very high-dimensional…”
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Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments by Mencattini, A., Di Giuseppe, D., Comes, M. C., Casti, P., Corsi, F., Bertani, F. R., Ghibelli, L., Businaro, L., Di Natale, C., Parrini, M. C., Martinelli, E.

“…We describe a novel method to achieve a universal, massive, and fully automated analysis of cell motility behaviours, starting from time-lapse microscopy…”
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Exploiting spectral information in Opto-Electronic Tweezers for cell classification and drug response evaluation by Filippi, J., Di Giuseppe, D., Casti, P., Mencattini, A., Antonelli, G., D’Orazio, M., Corsi, F., Della-Morte Canosci, D., Ghibelli, L., Witte, C., Di Natale, C., Neale, S.L., Martinelli, E.

“…Cell responses to varying electric fields can reveal insights on cell biology with important implications for pharmaceutical and basic research. In this work,…”
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The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applications by Comes, M. C., Casti, P., Mencattini, A., Di Giuseppe, D., Mermet-Meillon, F., De Ninno, A., Parrini, M. C., Businaro, L., Di Natale, C., Martinelli, E.

“…Cell-cell interactions are an observable manifestation of underlying complex biological processes occurring in response to diversified biochemical stimuli…”
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Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial Network by 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.

“…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…”
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Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis by Mencattini, A., D’Orazio, M., Casti, P., Comes, M. C., Di Giuseppe, D., Antonelli, G., Filippi, J., Corsi, F., Ghibelli, L., Veith, I., Di Natale, C., Parrini, M. C., Martinelli, E.

“…One of the major problems in bioimaging, often highly underestimated, is whether features extracted for a discrimination or regression task will remain valid…”
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Multi-scale generative adversarial network for improved evaluation of cell–cell interactions observed in organ-on-chip experiments by Comes, M. C., Filippi, J., Mencattini, A., Casti, P., Cerrato, G., Sauvat, A., Vacchelli, E., De Ninno, A., Di Giuseppe, D., D’Orazio, M., Mattei, F., Schiavoni, G., Businaro, L., Di Natale, C., Kroemer, G., Martinelli, E.

“…Organs On a Chip (OOCs) represent a sophisticated approach for exploring biological mechanisms and developing therapeutic agents. In conjunction with…”
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Towards localization of malignant sites of asymmetry across bilateral mammograms by Casti, P, Mencattini, A, Salmeri, M, Ancona, A, Lorusso, M, Pepe, M.L, Natale, C. Di, Martinelli, E

“…Highlights • Localization of malignant sites of asymmetry in mammograms. • Combination of Tabar masking procedures. • Use of correlation-based structural…”
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Estimation of the breast skin-line in mammograms using multidirectional Gabor filters by Casti, P, Mencattini, A, Salmeri, M, Ancona, A, Mangeri, F, Pepe, M.L, Rangayyan, R.M

“…Abstract Segmentation of the breast region is a fundamental step in any system for computerized analysis of mammograms. In this work, we propose a novel…”
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S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images by Casti, P., Cardarelli, S., Comes, M.C., D'Orazio, M., Filippi, J., Antonelli, G., Mencattini, A., Di Natale, C., Martinelli, E.

“…The derivation of input–output relationships in deep learning architectures is mostly a black-box process, in which uninformative or confounding factors might…”
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Machine learning microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for red blood cell plasticity evaluation in Pyruvate Kinase Disease monitoring by Mencattini, A., Rizzuto, V., Antonelli, G., Di Giuseppe, D., D’Orazio, M., Filippi, J., Comes, M.C., Casti, P., Vives Corrons, J.L., Garcia-Bravo, M., Segovia, J.C., del Mar Mañú-Pereira, Maria, Lopez-Martinez, M.J., Samitier, J., Martinelli, E.

“…Microfluidics represents a very promising technological solution for conducting massive biological experiments. However, the difficulty of managing the amount…”
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Contour-independent detection and classification of mammographic lesions by Casti, P., Mencattini, A., Salmeri, M., Ancona, A., Mangeri, F., Pepe, M.L., Rangayyan, R.M.

“…We present a multistage approach to detection and classification of mammographic lesions that is independent of accurate extraction of their contours. The…”
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Adaptive classification model based on artificial immune system for breast cancer detection by Magna, G., Jayaraman, S. Velappa, Casti, P., Mencattini, A., Di Natale, C., Martinelli, E.

“…Early stage asymmetric signs in breast that can be captured by the screening-digital mammography can be used for a precocious diagnosis of breast cancer…”
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Synthesis and characterization of NESS 0327: a novel putative antagonist of the CB1 cannabinoid receptor by Ruiu, Stefania, Pinna, Gèrard A, Marchese, Giorgio, Mussinu, Jean-Mario, Saba, Pierluigi, Tambaro, Simone, Casti, Paola, Vargiu, Romina, Pani, Luca

“…The compound N-piperidinyl-[8-chloro-1-(2,4-dichlorophenyl)-1,4,5,6-tetrahydrobenzo [6,7]cyclohepta[1,2-c]pyrazole-3-carboxamide] (NESS 0327) was synthesized…”
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Effect of cimetidine on burst-promoting activity of normal T lymphocytes by MORRA, L, MOCCIA, F, CASTI, P, BESSONE, G, PONASSI, G. A

“…The effect of cimetidine, an inhibitor of suppressor T lymphocytes, on the burst-promoting activity (BPA) of normal T lymphocytes has been studied. Cimetidine…”
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Effect of cimetidine on peripheral blood lymphocytes from chronic uremic patients: improvement of burst-promoting activity by Morra, L, Moccia, F, Gurreri, G, Ponassi, G A, Casti, P, Mela, S

“…We have studied the in vitro effect of cimetidine, an inhibitor of suppressor T lymphocytes, on T lymphocytes of 6 uremic subjects and on normal T lymphocytes…”
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Blockade of neurotensin receptors affects differently hypo-locomotion and catalepsy induced by haloperidol in mice by Casti, Paola, Marchese, Giorgio, Casu, Gianluca, Ruiu, Stefania, Pani, Luca

“…Antipsychotic drug treatment increases neurotensin (NT) neurotransmission, and the exogenous administration of NT produces antipsychotic-like effects in…”
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Haloperidol versus risperidone on rat “early onset” vacuous chewing by Marchese, Giorgio, Bartholini, Francesco, Casu, Maria Antonietta, Ruiu, Stefania, Casti, Paola, Congeddu, Elena, Tambaro, Simone, Pani, Luca

“…Similarly to acute rat catalepsy, “early onset” vacuous chewing movements (VCMs) induced by subchronic treatment with antipsychotic have recently been proposed…”
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The cerebellar GABAA alpha 6 subunit is differentially modulated by chronic ethanol exposure in normal (R100R) and mutated (Q100Q) sNP rats by Sanna, A, Congeddu, E, Saba, L, Porcella, A, Marchese, G, Ruiu, S, Casti, P, Saba, P, Pani, L

“…Sardinian alcohol non-preferring (sNP) rats carry a point mutation (R100Q) in the cerebellar expressed GABAA receptor alpha 6 subunit gene, leading to a higher…”
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A Multi-label Architecture for Vision-based Measurement of Intervals of Pain by Casti, P., Mencattini, A., Comes, M. C., Martinelli, E., Natoli, S., Dauri, M., Daprati, E.

“…Vision-based measurement of pain can provide significant advantage in patient care and cost reduction. The subjective nature of pain, however, poses…”
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