Multiclass cell detection in bright field images of cell mixtures with ECOC probability estimation

Long, Xi; Cleveland, William L.; Yao, Yan

doi:10.1016/j.imavis.2007.07.004

Cited by 15 publications

(5 citation statements)

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“…In cell tracking, the bright field cell segmentation is often presented as a preprocessing step followed by the actual tracking algorithm [10] . Utilizing bright field images with rather good contrast, it has also been shown that it is possible to classify between different cell types without fluorescent stains [11] . Finally, special microscopy techniques such as digital holography [12] have been used instead of fluorescent staining.…”

Section: Introductionmentioning

confidence: 99%

Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images

et al. 2009

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BackgroundFluorescence microscopy is the standard tool for detection and analysis of cellular phenomena. This technique, however, has a number of drawbacks such as the limited number of available fluorescent channels in microscopes, overlapping excitation and emission spectra of the stains, and phototoxicity.MethodologyWe here present and validate a method to automatically detect cell population outlines directly from bright field images. By imaging samples with several focus levels forming a bright field -stack, and by measuring the intensity variations of this stack over the -dimension, we construct a new two dimensional projection image of increased contrast. With additional information for locations of each cell, such as stained nuclei, this bright field projection image can be used instead of whole cell fluorescence to locate borders of individual cells, separating touching cells, and enabling single cell analysis. Using the popular CellProfiler freeware cell image analysis software mainly targeted for fluorescence microscopy, we validate our method by automatically segmenting low contrast and rather complex shaped murine macrophage cells.SignificanceThe proposed approach frees up a fluorescence channel, which can be used for subcellular studies. It also facilitates cell shape measurement in experiments where whole cell fluorescent staining is either not available, or is dependent on a particular experimental condition. We show that whole cell area detection results using our projected bright field images match closely to the standard approach where cell areas are localized using fluorescence, and conclude that the high contrast bright field projection image can directly replace one fluorescent channel in whole cell quantification. Matlab code for calculating the projections can be downloaded from the supplementary site: http://sites.google.com/site/brightfieldorstaining

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Section: Introductionmentioning

confidence: 99%

Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images

et al. 2009

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“…Recently, approaches from the field of machine learning are also being increasingly applied for image segmentation 14–16. Especially, artificial neural networks and support vector machines (SVMs) have made their way into bioimage segmentation 17–21. A review of automated object detection focusing on the analysis of microscopy images has been given by Nattkemper22 in 2004.…”

Section: Image Segmentationmentioning

confidence: 99%

Editors 2010

2010

Engineering in Life Sciences

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“…WSVM to identify the fault pattern of a gearbox is applied in this research. Nowadays, SVM has been successfully applied to numerous nonlinear classification and pattern recognition problems such as face detection [9], object detection and recognition [10], handwritten character and digit recognition [11], information and image recognition [12]. Since the essence of the fault diagnosis is also the pattern recognition, so it is reasonable to apply the SVM to gearbox fault diagnosis.…”

Section: Introductionmentioning

confidence: 99%

A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm

2013

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Multiclass cell detection in bright field images of cell mixtures with ECOC probability estimation

Cited by 15 publications

References 15 publications

Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images

Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images

Editors 2010

A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm

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