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Digital image analysis of mitotic chromosomes
Jaroš, Luboš ; Vítek, Martin (referee) ; Škutková, Helena (advisor)
The development in modern medicine has allowed to study human genome and detect predispositions to several diseases. One of very promising techniques is the analysis of human karyotype, i.e., the number and appearance of chromosomes in the cell nucleus. The most important step in the karyotype analysis is the chromosome detection and categorization. In this work, a new algorithm for detection of chromosomes from an image of microscopic DNA sample and their categorization into seven groups was developed. The algorithm was implemented in Matlab. The accuracy of segmentation and classification was tested on a set of images from two databases with 117 and 38 images, respectively. The sensitivity of the developed segmentation reached 88% while the value of positive predictivity of segmentation reached 92%. The success rate of chromosome pairing achieves 77%.
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Digital image analysis of mitotic chromosomes
Danielová, Tereza ; Provazník, Ivo (referee) ; Škutková, Helena (advisor)
This master’s thesis is focused on digital image analysis of mitotic chromosomes. It deals with the design of the processing of digital images - from image preprocessing to clasification of each chromosomes, including testing on a set of images. This work introduces used cytogenetic methods, that are used to visualize chromosomes. In its practical part describes morphology operations and clasification procedure. Classification of the chomosomes was divided into 5 groups (A-G). All algorithms were created in the MATLAB program.
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Digital image analysis of mitotic chromosomes
Jaroš, Luboš ; Vítek, Martin (referee) ; Škutková, Helena (advisor)
The development in modern medicine has allowed to study human genome and detect predispositions to several diseases. One of very promising techniques is the analysis of human karyotype, i.e., the number and appearance of chromosomes in the cell nucleus. The most important step in the karyotype analysis is the chromosome detection and categorization. In this work, a new algorithm for detection of chromosomes from an image of microscopic DNA sample and their categorization into seven groups was developed. The algorithm was implemented in Matlab. The accuracy of segmentation and classification was tested on a set of images from two databases with 117 and 38 images, respectively. The sensitivity of the developed segmentation reached 88% while the value of positive predictivity of segmentation reached 92%. The success rate of chromosome pairing achieves 77%.
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Digital image analysis of mitotic chromosomes
Danielová, Tereza ; Provazník, Ivo (referee) ; Škutková, Helena (advisor)
This master’s thesis is focused on digital image analysis of mitotic chromosomes. It deals with the design of the processing of digital images - from image preprocessing to clasification of each chromosomes, including testing on a set of images. This work introduces used cytogenetic methods, that are used to visualize chromosomes. In its practical part describes morphology operations and clasification procedure. Classification of the chomosomes was divided into 5 groups (A-G). All algorithms were created in the MATLAB program.
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Using of aCGH method in preimplantation genetic diagnostics
PITTROVÁ, Monika
Preimplantation genetic analysis allows testing embryos produced by in vitro fertilisation before their transfer into the uterus. Preimplantation genetic analysis can be performed as screening of random aneuploidies (PGS) or targeted diagnosis of familial chromosomal aberrations or monogenic diseases (PGD) or combination of both approaches (PGD/PGS). Preimplantation genetic testing is appropriate for wide spectre of patients undregoing human assisted reproduction treatment. Array comparative genomic hybridization (aCGH) is sensitive and high throughput method for detection of chromosomal copy number changes on whole embryonal genome, therefore allows performing screening of random aneuploidies (PGS) in combination with diagnosis of unbalanced chromosomal familial aberrations (PGD/PGS). The data for this study were obtained from Genetic Laboratory IVF Zentren Prof. Zech in Pilsen during 2014. The results of 469 examined embryonal samples resulting from 98 clients were analysed. All biopsies of trophectoderm cells were performed on blastocyst stage. All embryonal samples underwent whole genome amplification (WGA) and were processed using 24sure microarrays (BlueGnome). PGS was performed for 366 embryos in total and combined analysis including PGS and PGD was performed for 103 embryos. An average maternal age at the time of analysis was 40,5. This study demonstrates that there is significantly higher rate of aneuploidy in patients of higher maternal age. A suitability of PGS for older patients was confirmed. In other groups of patients containing IVF cycles with donated oocytes or patients carrying familial chromosomal aberrations a higher profit of fertility treatment was observed.
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