2015
DOI: 10.1186/s12859-015-0762-2
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Survey statistics of automated segmentations applied to optical imaging of mammalian cells

Abstract: BackgroundThe goal of this survey paper is to overview cellular measurements using optical microscopy imaging followed by automated image segmentation. The cellular measurements of primary interest are taken from mammalian cells and their components. They are denoted as two- or three-dimensional (2D or 3D) image objects of biological interest. In our applications, such cellular measurements are important for understanding cell phenomena, such as cell counts, cell-scaffold interactions, cell colony growth rates… Show more

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Cited by 44 publications
(45 citation statements)
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References 146 publications
(129 reference statements)
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“…The SWFs also provide a valuable means for extracting features from RPE image data, and are likely to prove useful moving forward to more accurately characterize dynamic changes in RPE culture viability. While there are many approaches to feature-based characterization of microscopy images, 25 steerable wavelets offer the advantage of a compact parameterized shape representation that efficiently quantifies the symmetries associated with cobblestone junctions.…”
Section: Discussionmentioning
confidence: 99%
“…The SWFs also provide a valuable means for extracting features from RPE image data, and are likely to prove useful moving forward to more accurately characterize dynamic changes in RPE culture viability. While there are many approaches to feature-based characterization of microscopy images, 25 steerable wavelets offer the advantage of a compact parameterized shape representation that efficiently quantifies the symmetries associated with cobblestone junctions.…”
Section: Discussionmentioning
confidence: 99%
“…The choice of the mathematical descriptor (biological frame of reference) thus matters immensely, and the choice is often hypothesis driven. It is important to understand exactly which part of an object is localized by a chosen mathematical descriptor (Bajcsy et al., ; Stegmaier et al., ; Winter et al., ).…”
Section: Target Localizationmentioning
confidence: 99%
“…Hence, it integrates the scale-space theory introduced by Lindeberg [25]. The Hessian matrix H (x, σ) at a location with pixel coordinates x = (x, y) and scale σ in an image I is given by (5).…”
Section: B Speeded-up Robust Featuresmentioning
confidence: 99%
“…These include not only human sperm cell, but also different species [3], [4] and other biological particles: virus, bacteria, stem cells [5] and tumour images [6].…”
Section: Introductionmentioning
confidence: 99%