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Journal of Biomolecular Screening
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DetecTiff©: A Novel Image Analysis Routine for High-Content Screening Microscopy

Daniel F. Gilbert

Cell Biology/Biophysics Unit, EMBL, Heidelberg, Germany, gilbert{at}detectiff.com

Till Meinhof

Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany

Rainer Pepperkok

Cell Biology/Biophysics Unit, EMBL, Heidelberg, Germany, Molecular Medicine Partnership Unit, University of Heidelberg/EMBL, Heidelberg, Germany

Heiko Runz

Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany, heiko.runz{at}med.uni-heidelberg.de, Molecular Medicine Partnership Unit, University of Heidelberg/EMBL, Heidelberg, Germany

In this article, the authors describe the image analysis software DetecTiff©, which allows fully automated object recognition and quantification from digital images. The core module of the LabView©-based routine is an algorithm for structure recognition that employs intensity thresholding and size-dependent particle filtering from microscopic images in an iterative manner. Detected structures are converted into templates, which are used for quantitative image analysis. DetecTiff © enables processing of multiple detection channels and provides functions for template organization and fast interpretation of acquired data. The authors demonstrate the applicability of DetecTiff© for automated analysis of cellular uptake of fluorescencelabeled low-density lipoproteins as well as diverse other image data sets from a variety of biomedical applications. Moreover, the performance of DetecTiff© is compared with preexisting image analysis tools. The results show that DetecTiff© can be applied with high consistency for automated quantitative analysis of image data (e.g., from large-scale functional RNAi screening projects). (Journal of Biomolecular Screening 2009:944-955)

Key Words: cholesterol • high-content screening microscopy • image analysis software • LabView© • membrane trafficking • RNAi

This version was published on September 1, 2009

Journal of Biomolecular Screening, Vol. 14, No. 8, 944-955 (2009)
DOI: 10.1177/1087057109339523
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