High-content imaging

Frits Hulshof, Er Liu, Andrea Negro, Samy Gobaa, Matthias Lutolf, Prabhas V. Moghe, Hugo Fernandes

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

Scope: High-content imaging (HCI) plays a pivotal role in high-throughput screening (HTS) of biological responses to biomaterials. This chapter will give a brief introduction to its basic principles by explaining the most commonly used imaging techniques, describing the general structure of an image analysis pipeline and providing a summary of available HCI software. Special emphasis will be devoted to the initial steps of image analysis such as image correction, segmentation and feature extraction. Additionally we include a brief overview of relevant literature and description of promising new tools for HCI. Finally, two classic experiments will be described, which use state-of-the-art HCI in biomaterial science by experts in the field.

Origins of high-content imaging: The first person to observe micro-organisms with a microscopic device was the Dutchman Antoni van Leeuwenhoek (1), who was able to make and polish tiny lenses of high curvature which were the forerunners of the modern microscope. Robert Hooke, the English father of microscopy, later improved on the design and confirmed van Leeuwenhoek’s findings. Since then, light microscopy has evolved into its modern incarnation. The first use of fluorescence microscopy in biology was in 1881 when the bacteriologist Paul Ehrlich used fluorescin to observe the aqueous humour in the eye. The first immuno-staining was performed in 1950 by Melvin Kaplan (2). Green fluorescent protein (GFP) was the first fluorescent protein used in biology. It was isolated from jellyfish in 1961 by Shimomura and co-workers, and it was cloned by Prisher in 1992. The ability either to use antibody conjugated fluorophores or to clone GFP into chimaeric proteins led to the implementation of the fluorescence microscope in modern biology. High-content imaging (HCI) is the automation of fluorescence microscopy whereby the manual interpretation of images is replaced by computer algorithms.
Original languageEnglish
Title of host publicationMateriomics - High-Throughput Screening of Biomaterial Properties
EditorsJ. de Boer, C.A. van Blitterswijk
PublisherCambridge University Press
Chapter6
Pages85-100
ISBN (Print)9781107016774
DOIs
Publication statusPublished - 2013

Publication series

Name
PublisherCambridge University Press

Fingerprint

Biocompatible Materials
Green Fluorescent Proteins
Fluorescence Microscopy
Microscopy
Industrial Oils
Aptitude
Aqueous Humor
Automation
Fathers
Lenses
Proteins
Software
Clone Cells
Fluorescence
Staining and Labeling
Light
Equipment and Supplies
Antibodies

Keywords

  • METIS-295095
  • IR-87823

Cite this

Hulshof, F., Liu, E., Negro, A., Gobaa, S., Lutolf, M., Moghe, P. V., & Fernandes, H. (2013). High-content imaging. In J. de Boer, & C. A. van Blitterswijk (Eds.), Materiomics - High-Throughput Screening of Biomaterial Properties (pp. 85-100). Cambridge University Press. https://doi.org/10.1017/CBO9781139061414.007
Hulshof, Frits ; Liu, Er ; Negro, Andrea ; Gobaa, Samy ; Lutolf, Matthias ; Moghe, Prabhas V. ; Fernandes, Hugo. / High-content imaging. Materiomics - High-Throughput Screening of Biomaterial Properties. editor / J. de Boer ; C.A. van Blitterswijk. Cambridge University Press, 2013. pp. 85-100
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Hulshof, F, Liu, E, Negro, A, Gobaa, S, Lutolf, M, Moghe, PV & Fernandes, H 2013, High-content imaging. in J de Boer & CA van Blitterswijk (eds), Materiomics - High-Throughput Screening of Biomaterial Properties. Cambridge University Press, pp. 85-100. https://doi.org/10.1017/CBO9781139061414.007

High-content imaging. / Hulshof, Frits; Liu, Er; Negro, Andrea; Gobaa, Samy; Lutolf, Matthias; Moghe, Prabhas V.; Fernandes, Hugo.

Materiomics - High-Throughput Screening of Biomaterial Properties. ed. / J. de Boer; C.A. van Blitterswijk. Cambridge University Press, 2013. p. 85-100.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

TY - CHAP

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AU - Hulshof, Frits

AU - Liu, Er

AU - Negro, Andrea

AU - Gobaa, Samy

AU - Lutolf, Matthias

AU - Moghe, Prabhas V.

AU - Fernandes, Hugo

PY - 2013

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N2 - Scope: High-content imaging (HCI) plays a pivotal role in high-throughput screening (HTS) of biological responses to biomaterials. This chapter will give a brief introduction to its basic principles by explaining the most commonly used imaging techniques, describing the general structure of an image analysis pipeline and providing a summary of available HCI software. Special emphasis will be devoted to the initial steps of image analysis such as image correction, segmentation and feature extraction. Additionally we include a brief overview of relevant literature and description of promising new tools for HCI. Finally, two classic experiments will be described, which use state-of-the-art HCI in biomaterial science by experts in the field.Origins of high-content imaging: The first person to observe micro-organisms with a microscopic device was the Dutchman Antoni van Leeuwenhoek (1), who was able to make and polish tiny lenses of high curvature which were the forerunners of the modern microscope. Robert Hooke, the English father of microscopy, later improved on the design and confirmed van Leeuwenhoek’s findings. Since then, light microscopy has evolved into its modern incarnation. The first use of fluorescence microscopy in biology was in 1881 when the bacteriologist Paul Ehrlich used fluorescin to observe the aqueous humour in the eye. The first immuno-staining was performed in 1950 by Melvin Kaplan (2). Green fluorescent protein (GFP) was the first fluorescent protein used in biology. It was isolated from jellyfish in 1961 by Shimomura and co-workers, and it was cloned by Prisher in 1992. The ability either to use antibody conjugated fluorophores or to clone GFP into chimaeric proteins led to the implementation of the fluorescence microscope in modern biology. High-content imaging (HCI) is the automation of fluorescence microscopy whereby the manual interpretation of images is replaced by computer algorithms.

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KW - METIS-295095

KW - IR-87823

U2 - 10.1017/CBO9781139061414.007

DO - 10.1017/CBO9781139061414.007

M3 - Chapter

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Hulshof F, Liu E, Negro A, Gobaa S, Lutolf M, Moghe PV et al. High-content imaging. In de Boer J, van Blitterswijk CA, editors, Materiomics - High-Throughput Screening of Biomaterial Properties. Cambridge University Press. 2013. p. 85-100 https://doi.org/10.1017/CBO9781139061414.007