Digital image analysis: a review of reproducibility, stability and basic requirements for optimal results

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Digital image analysis : a review of reproducibility, stability and basic requirements for optimal results. / Riber-Hansen, Rikke; Vainer, Ben; Steiniche, Torben.

I: APMIS : acta pathologica, microbiologica, et immunologica Scandinavica, Bind 120, Nr. 4, 04.2012, s. 276-89.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Riber-Hansen, R, Vainer, B & Steiniche, T 2012, 'Digital image analysis: a review of reproducibility, stability and basic requirements for optimal results', APMIS : acta pathologica, microbiologica, et immunologica Scandinavica, bind 120, nr. 4, s. 276-89. https://doi.org/10.1111/j.1600-0463.2011.02854.x

APA

Riber-Hansen, R., Vainer, B., & Steiniche, T. (2012). Digital image analysis: a review of reproducibility, stability and basic requirements for optimal results. APMIS : acta pathologica, microbiologica, et immunologica Scandinavica, 120(4), 276-89. https://doi.org/10.1111/j.1600-0463.2011.02854.x

Vancouver

Riber-Hansen R, Vainer B, Steiniche T. Digital image analysis: a review of reproducibility, stability and basic requirements for optimal results. APMIS : acta pathologica, microbiologica, et immunologica Scandinavica. 2012 apr.;120(4):276-89. https://doi.org/10.1111/j.1600-0463.2011.02854.x

Author

Riber-Hansen, Rikke ; Vainer, Ben ; Steiniche, Torben. / Digital image analysis : a review of reproducibility, stability and basic requirements for optimal results. I: APMIS : acta pathologica, microbiologica, et immunologica Scandinavica. 2012 ; Bind 120, Nr. 4. s. 276-89.

Bibtex

@article{ad24500c285e4771915894e18fa12296,
title = "Digital image analysis: a review of reproducibility, stability and basic requirements for optimal results",
abstract = "Digital image analysis (DIA) is increasingly implemented in histopathological research to facilitate truly quantitative measurements, decrease inter-observer variation and reduce hands-on time. Originally, efforts were made to enable DIA to reproduce manually obtained results on histological slides optimized for light microscopy and the human eye. With improved technical methods and the acknowledgement that computerized readings are different from analysis by human eye, recognition has been achieved that to really empower DIA, histological slides must be optimized for the digital 'eye', with reproducible results correlating with clinical findings. In this review, we focus on the basic expectations and requirements for DIA to gain wider use in histopathological research and diagnostics. With a reference to studies that specifically compare DIA with conventional methods, this review discusses reproducibility, application of stereology-based quantitative measurements, time consumption, optimization of histological slides, regions of interest selection and recent developments in staining and imaging techniques.",
keywords = "Biomedical Technology, Diagnostic Imaging, Humans, Image Processing, Computer-Assisted, Microscopy, Reproducibility of Results, Signal Processing, Computer-Assisted, Staining and Labeling",
author = "Rikke Riber-Hansen and Ben Vainer and Torben Steiniche",
note = "{\textcopyright} 2011 The Authors. APMIS {\textcopyright} 2011 APMIS.",
year = "2012",
month = apr,
doi = "10.1111/j.1600-0463.2011.02854.x",
language = "English",
volume = "120",
pages = "276--89",
journal = "A P M I S. Acta Pathologica, Microbiologica et Immunologica Scandinavica",
issn = "0903-4641",
publisher = "Wiley Online",
number = "4",

}

RIS

TY - JOUR

T1 - Digital image analysis

T2 - a review of reproducibility, stability and basic requirements for optimal results

AU - Riber-Hansen, Rikke

AU - Vainer, Ben

AU - Steiniche, Torben

N1 - © 2011 The Authors. APMIS © 2011 APMIS.

PY - 2012/4

Y1 - 2012/4

N2 - Digital image analysis (DIA) is increasingly implemented in histopathological research to facilitate truly quantitative measurements, decrease inter-observer variation and reduce hands-on time. Originally, efforts were made to enable DIA to reproduce manually obtained results on histological slides optimized for light microscopy and the human eye. With improved technical methods and the acknowledgement that computerized readings are different from analysis by human eye, recognition has been achieved that to really empower DIA, histological slides must be optimized for the digital 'eye', with reproducible results correlating with clinical findings. In this review, we focus on the basic expectations and requirements for DIA to gain wider use in histopathological research and diagnostics. With a reference to studies that specifically compare DIA with conventional methods, this review discusses reproducibility, application of stereology-based quantitative measurements, time consumption, optimization of histological slides, regions of interest selection and recent developments in staining and imaging techniques.

AB - Digital image analysis (DIA) is increasingly implemented in histopathological research to facilitate truly quantitative measurements, decrease inter-observer variation and reduce hands-on time. Originally, efforts were made to enable DIA to reproduce manually obtained results on histological slides optimized for light microscopy and the human eye. With improved technical methods and the acknowledgement that computerized readings are different from analysis by human eye, recognition has been achieved that to really empower DIA, histological slides must be optimized for the digital 'eye', with reproducible results correlating with clinical findings. In this review, we focus on the basic expectations and requirements for DIA to gain wider use in histopathological research and diagnostics. With a reference to studies that specifically compare DIA with conventional methods, this review discusses reproducibility, application of stereology-based quantitative measurements, time consumption, optimization of histological slides, regions of interest selection and recent developments in staining and imaging techniques.

KW - Biomedical Technology

KW - Diagnostic Imaging

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Microscopy

KW - Reproducibility of Results

KW - Signal Processing, Computer-Assisted

KW - Staining and Labeling

U2 - 10.1111/j.1600-0463.2011.02854.x

DO - 10.1111/j.1600-0463.2011.02854.x

M3 - Journal article

C2 - 22429210

VL - 120

SP - 276

EP - 289

JO - A P M I S. Acta Pathologica, Microbiologica et Immunologica Scandinavica

JF - A P M I S. Acta Pathologica, Microbiologica et Immunologica Scandinavica

SN - 0903-4641

IS - 4

ER -

ID: 117547701