Automatic detection of mitochondria from electron microscope tomography images: a curve fitting approach

2014-02-18
Tasel, Serdar F.
HASSANPOUR, REZA
Mumcuoğlu, Ünal Erkan
Perkins, Guy
Martone, Maryann
Mitochondria are sub-cellular components which are mainly responsible for synthesis of adenosine tri-phosphate (ATP) and involved in the regulation of several cellular activities such as apoptosis. The relation between some common diseases of aging and morphological structure of mitochondria is gaining strength by an increasing number of studies. Electron microscope tomography (EMT) provides high-resolution images of the 3D structure and internal arrangement of mitochondria. Studies that aim to reveal the correlation between mitochondrial structure and its function require the aid of special software tools for manual segmentation of mitochondria from EMT images. Automated detection and segmentation of mitochondria is a challenging problem due to the variety of mitochondrial structures, the presence of noise, artifacts and other sub-cellular structures. Segmentation methods reported in the literature require human interaction to initialize the algorithms. In our previous study, we focused on 2D detection and segmentation of mitochondria using an ellipse detection method. In this study, we propose a new approach for automatic detection of mitochondria from EMT images. First, a preprocessing step was applied in order to reduce the effect of non-mitochondrial sub-cellular structures. Then, a curve fitting approach was presented using a Hessian-based ridge detector to extract membrane-like structures and a curve-growing scheme Finally, an automatic algorithm was employed to detect mitochondria which are represented by a subset of the detected curves. The results show that the proposed method is more robust in detection of mitochondria in consecutive EMT slices as compared with our previous automatic method.
Conference on Medical Imaging - Image Processing

Suggestions

A validated active contour method driven by parabolic arc model for detection and segmentation of mitochondria
Tasel, Serdar F.; Mumcuoğlu, Ünal Erkan; Hassanpour, Reza Z.; Perkins, Guy (2016-06-01)
Recent studies reveal that mitochondria take substantial responsibility in cellular functions that are closely related to aging diseases caused by degeneration of neurons. These studies emphasize that the membrane and crista morphology of a mitochondrion should receive attention in order to investigate the link between mitochondria] function and its physical structure. Electron microscope tomography (EMT) allows analysis of the inner structures of mitochondria by providing highly detailed visual data from l...
Computerized detection and segmentation of mitochondria on electron microscope images
Mumcuoğlu, Ünal Erkan; Tasel, S. F.; Perkins, Guy; Martone, M. E.; Gurcan, M. N. (2012-06-01)
Mitochondrial function plays an important role in the regulation of cellular life and death, including disease states. Disturbance in mitochondrial function and distribution can be accompanied by significant morphological alterations. Electron microscopy tomography (EMT) is a powerful technique to study the 3D structure of mitochondria, but the automatic detection and segmentation of mitochondria in EMT volumes has been challenging due to the presence of subcellular structures and imaging artifacts. Therefo...
Stochastic modelling of the MAPK signalling pathway
Purutçuoğlu Gazi, Vilda (null; 2006-06-01)
The MAPK (mitogen-activated protein kinase) or its synonymous ERK (extracellular signal regulated kinase) pathway whose components are Ras, Raf, and MEK proteins with many biochemical links, is one of the major signalling systems involved in cellular growth control of eukaryotes including cell proliferation, transformation, differentiation, and apoptosis. Because of its diverse functionality, it is also activated in a variety of hormone activation and many illnesses, which have multi-complex gene structure ...
Exact and Approximate Stochastic Simulations of the MAPK Pathway and Comparisons of Simulations' Results
Purutçuoğlu Gazi, Vilda (2006-10-01)
The MAPK (mitogen-activated protein kinase) or its synonymous ERK (extracellular signal regulated kinase) pathway whose components are Ras, Raf, and MEK proteins with many biochemical links, is one of the major signalling systems involved in cellular growth control of eukaryotes including cell proliferation, transformation, differentiation, and apoptosis. In this study we describe the MAPK/ERK pathway via (quasi) biochemical reactions and then implement the pathway by a stochastic Markov process. A novelty ...
Visualization of interactions between fluorescently tagged g protein α11, α12/13 subtypes and adenosine 2a, dopamine 2 or homodimer adenosine 2a/2a receptors
Kostromin, İrmak Begüm; Son, Çağdaş Devrim; Department of Biology (2018)
G-Protein-coupled receptors (GPCRs) belong to one of the largest family of cell surface receptors, which transmit extracellular signals to intracellular responses by interacting with G- proteins. The G proteins are known as molecular switches that regulates different pathways via control of secondary messengers and signaling proteins. Adenosine 2A (A2A) and Dopamine 2 (D2) receptors belong to G-Protein-coupled receptors (GPCRs) family and are located mostly in striatopallidal γ-aminobutyric acid (GABA) cont...
Citation Formats
S. F. Tasel, R. HASSANPOUR, Ü. E. Mumcuoğlu, G. Perkins, and M. Martone, “Automatic detection of mitochondria from electron microscope tomography images: a curve fitting approach,” San Diego, CA, 2014, vol. 9034, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31378.