OBJECTIVE: The ability of cells to collectively move is essential in various biological contexts including cancer metastasis. In this paper, we propose an automatic video analysis tool to correlate the cell movement inhibition with replication block induced by dose-dependent chemotherapy administration. METHODS: The novel approach combines individual and collective cell kinematic analysis performed over time-lapse microscopy video frames. Cells are first localized and tracked, and then kinematic descriptors are extracted for each track. Selective track identification is performed assuming diversified cell roles within the same cluster (spontaneously forming groups of cells), and finally individual results are grouped exploiting consensus of coordinated motility within cell clusters. RESULTS: Recognition performance of three different experimental conditions (no drug, 0.5-5 μM merged in the same condition, and 50 μM) reached an average accuracy value of 88% over 958 different tracks collected in 36 clusters of diverse dimensions in eight independent experiments. CONCLUSION: An extensive application of this methodology could give a different point of view of the cancer mechanisms.
OBJECTIVE: The ability of cells to collectively move is essential in various biological contexts including cancer metastasis. In this paper, we propose an automatic video analysis tool to correlate the cell movement inhibition with replication block induced by dose-dependent chemotherapy administration. METHODS: The novel approach combines individual and collective cell kinematic analysis performed over time-lapse microscopy video frames. Cells are first localized and tracked, and then kinematic descriptors are extracted for each track. Selective track identification is performed assuming diversified cell roles within the same cluster (spontaneously forming groups of cells), and finally individual results are grouped exploiting consensus of coordinated motility within cell clusters. RESULTS: Recognition performance of three different experimental conditions (no drug, 0.5-5 μM merged in the same condition, and 50 μM) reached an average accuracy value of 88% over 958 different tracks collected in 36 clusters of diverse dimensions in eight independent experiments. CONCLUSION: An extensive application of this methodology could give a different point of view of the cancer mechanisms.
Authors: M D'Orazio; M Murdocca; A Mencattini; P Casti; J Filippi; G Antonelli; D Di Giuseppe; M C Comes; C Di Natale; F Sangiuolo; E Martinelli Journal: Sci Rep Date: 2022-05-20 Impact factor: 4.996
Authors: Valeria Rizzuto; Arianna Mencattini; Begoña Álvarez-González; Davide Di Giuseppe; Eugenio Martinelli; David Beneitez-Pastor; Maria Del Mar Mañú-Pereira; Maria José Lopez-Martinez; Josep Samitier Journal: Sci Rep Date: 2021-06-30 Impact factor: 4.379
Authors: Maria Colomba Comes; J Filippi; A Mencattini; F Corsi; P Casti; A De Ninno; D Di Giuseppe; M D'Orazio; L Ghibelli; F Mattei; G Schiavoni; L Businaro; C Di Natale; E Martinelli Journal: Sci Rep Date: 2020-09-24 Impact factor: 4.379