From Petri Dishes to Organ on Chip Platform: The Increasing Importance of Machine Learning and Image Analysis.

cell interaction analysis image analysis machine learning organ on chip time-lapse microscopy

Journal

Frontiers in pharmacology
ISSN: 1663-9812
Titre abrégé: Front Pharmacol
Pays: Switzerland
ID NLM: 101548923

Informations de publication

Date de publication:
2019
Historique:
received: 25 10 2018
accepted: 24 01 2019
entrez: 14 3 2019
pubmed: 14 3 2019
medline: 14 3 2019
Statut: epublish

Résumé

The increasing interest for microfluidic devices in medicine and biology has opened the way to new time-lapse microscopy era where the amount of images and their acquisition time will become crucial. In this optic, new data analysis algorithms have to be developed in order to extract novel features of cell behavior and cell-cell interactions. In this brief article, we emphasize the potential strength of a new paradigm arising in the integration of microfluidic devices (i.e., organ on chip), time-lapse microscopy analysis, and machine learning approaches. Some snapshots of previous case studies in the context of immunotherapy are included as proof of concepts of the proposed strategies while a visionary description concludes the work foreseeing future research and applicative scenarios.

Identifiants

pubmed: 30863306
doi: 10.3389/fphar.2019.00100
pmc: PMC6399655
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100

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Auteurs

Arianna Mencattini (A)

Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.

Fabrizio Mattei (F)

Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.

Giovanna Schiavoni (G)

Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.

Annamaria Gerardino (A)

CNR, Institute for Photonics and Nanotechnologies, Rome, Italy.

Luca Businaro (L)

CNR, Institute for Photonics and Nanotechnologies, Rome, Italy.

Corrado Di Natale (C)

Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.

Eugenio Martinelli (E)

Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.

Classifications MeSH