INSIDIA: a FIJI macro delivering high-throughput and high-content spheroid invasion analysis

Chiara Moriconi; Valentina Palmieri; Riccardo Di Santo; Giusy Tornillo; Massimiliano Papi; Geoff Pilkington; Marco De Spirito; Mark Gumbleton

doi:10.1002/biot.201700140

INSIDIA: a FIJI macro delivering high-throughput and high-content spheroid invasion analysis

Chiara Moriconi, Valentina Palmieri, Riccardo Di Santo, Giusy Tornillo, Massimiliano Papi, Geoff Pilkington, Marco De Spirito, Mark Gumbleton

Institute of Life Sciences and Healthcare

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Abstract

Time-series image capture of in vitro 3D spheroidal cancer models embedded within an extracellular matrix affords examination of spheroid growth and cancer cell invasion. However, a customizable, comprehensive and open source solution for the quantitative analysis of such spheroid images is lacking. Here, the authors describe INSIDIA (INvasion SpheroID ImageJ Analysis), an open-source macro implemented as a customizable software algorithm running on the FIJI platform, that enables high-throughput high-content quantitative analysis of spheroid images (both bright-field gray and fluorescent images) with the output of a range of parameters defining the spheroid “tumor” core and its invasive characteristics.

Original language	English
Article number	1700140
Journal	Biotechnology Journal
Early online date	6 Sept 2017
DOIs	https://doi.org/10.1002/biot.201700140
Publication status	Early online - 6 Sept 2017

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SDG 3 Good Health and Well-being

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10.1002/biot.201700140

INSIDIA - a FIJI Macro Delivering High-throughput
This is the peer reviewed version of the following article: Moriconi, C., Palmieri, V., Di Santo, R., Tornillo, G., Papi, M., Pilkington, G., De Spirito, M. and Gumbleton, M. (2017), INSIDIA: A FIJI Macro Delivering High-Throughput and High-Content Spheroid Invasion Analysis. Biotechnol. J., 1700140. doi:10.1002/biot.201700140, which has been published in final form at http://onlinelibrary.wiley.com/wol1/doi/10.1002/biot.201700140/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
Accepted author manuscript (Post-print), 741 KB

http://onlinelibrary.wiley.com/doi/10.1002/biot.201700140/abstract

Cite this

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title = "INSIDIA: a FIJI macro delivering high-throughput and high-content spheroid invasion analysis",

abstract = "Time-series image capture of in vitro 3D spheroidal cancer models embedded within an extracellular matrix affords examination of spheroid growth and cancer cell invasion. However, a customizable, comprehensive and open source solution for the quantitative analysis of such spheroid images is lacking. Here, the authors describe INSIDIA (INvasion SpheroID ImageJ Analysis), an open-source macro implemented as a customizable software algorithm running on the FIJI platform, that enables high-throughput high-content quantitative analysis of spheroid images (both bright-field gray and fluorescent images) with the output of a range of parameters defining the spheroid “tumor” core and its invasive characteristics.",

author = "Chiara Moriconi and Valentina Palmieri and \{Di Santo\}, Riccardo and Giusy Tornillo and Massimiliano Papi and Geoff Pilkington and \{De Spirito\}, Marco and Mark Gumbleton",

year = "2017",

month = sep,

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doi = "10.1002/biot.201700140",

language = "English",

journal = "Biotechnology Journal",

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T2 - a FIJI macro delivering high-throughput and high-content spheroid invasion analysis

AU - Moriconi, Chiara

AU - Palmieri, Valentina

AU - Di Santo, Riccardo

AU - Tornillo, Giusy

AU - Papi, Massimiliano

AU - Pilkington, Geoff

AU - De Spirito, Marco

AU - Gumbleton, Mark

PY - 2017/9/6

Y1 - 2017/9/6

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AB - Time-series image capture of in vitro 3D spheroidal cancer models embedded within an extracellular matrix affords examination of spheroid growth and cancer cell invasion. However, a customizable, comprehensive and open source solution for the quantitative analysis of such spheroid images is lacking. Here, the authors describe INSIDIA (INvasion SpheroID ImageJ Analysis), an open-source macro implemented as a customizable software algorithm running on the FIJI platform, that enables high-throughput high-content quantitative analysis of spheroid images (both bright-field gray and fluorescent images) with the output of a range of parameters defining the spheroid “tumor” core and its invasive characteristics.

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DO - 10.1002/biot.201700140

M3 - Article

SN - 1860-6768

JO - Biotechnology Journal

JF - Biotechnology Journal

M1 - 1700140

ER -

INSIDIA: a FIJI macro delivering high-throughput and high-content spheroid invasion analysis

Abstract

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