Modern sugarcane is an unusually complex heteroploid crop, and its genome comprises two or three subgenomes. To reduce the complexity of sugarcane genome research, the ploidy level and number of chromosomes can be reduced using flow chromosome sorting. However, a cell cycle synchronization (CCS) protocol for Saccharum spp. is needed that maximizes the accumulation of metaphase chromosomes. For flow cytometry analysis in this study, we optimized the lysis buffer, hydroxyurea(HU) concentration, HU treatment time and recovery time for sugarcane. We determined the mitotic index by microscopic observation and calculation. We found that WPB buffer was superior to other buffers for preparation of sugarcane nuclei suspensions. The optimal HU treatment was 2 mM for 18 h at 25 °C, 28 °C and 30 °C. Higher recovery treatment temperatures were associated with shorter recovery times (3.5 h, 2.5 h and 1.5 h at 25 °C, 28 °C and 30 °C, respectively). The optimal conditions for treatment with the inhibitor of microtubule polymerization, amiprophos-methyl (APM), were 2.5 μM for 3 h at 25 °C, 28 °C and 30 °C. Meanwhile, preliminary screening of CCS protocols for Badila were used for some main species of genus Saccharum at 25 °C, 28 °C and 30 °C, which showed that the average mitotic index decreased from 25 °C to 30 °C. The optimal sugarcane CCS protocol that yielded a mitotic index of >50% in sugarcane root tips was: 2 mM HU for 18 h, 0.1 X Hoagland's Solution without HU for 3.5 h, and 2.5 μM APM for 3.0 h at 25 °C. The CCS protocol defined in this study should accelerate the development of genomic research and cytobiology research in sugarcane.

• MeSH
• buněčný cyklus fyziologie   MeSH
• časové faktory MeSH
• chromozomy rostlin * metabolismus   MeSH
• genom rostlinný genetika   MeSH
• genomika metody   MeSH
• hydroxymočovina MeSH
• metafáze MeSH
• mitotický index MeSH
• nitrobenzeny MeSH
• organothiofosforové sloučeniny MeSH
• průtoková cytometrie metody   MeSH
• pufry MeSH
• Saccharum cytologie   genetika   MeSH
• teplota MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• amiprophos methyl MeSH Prohlížeč
• hydroxymočovina MeSH
• nitrobenzeny MeSH
• organothiofosforové sloučeniny MeSH
• pufry MeSH

BACKGROUND: Optical coherence tomography (OCT) is widely used in ophthalmology for viewing the morphology of the retina, which is important for disease detection and assessing therapeutic effect. The diagnosis of retinal diseases is based primarily on the subjective analysis of OCT images by trained ophthalmologists. This paper describes an OCT images automatic analysis method for computer-aided disease diagnosis and it is a critical part of the eye fundus diagnosis. METHODS: This study analyzed 300 OCT images acquired by Optovue Avanti RTVue XR (Optovue Corp., Fremont, CA). Firstly, the normal retinal reference model based on retinal boundaries was presented. Subsequently, two kinds of quantitative methods based on geometric features and morphological features were proposed. This paper put forward a retinal abnormal grading decision-making method which was used in actual analysis and evaluation of multiple OCT images. RESULTS: This paper showed detailed analysis process by four retinal OCT images with different abnormal degrees. The final grading results verified that the analysis method can distinguish abnormal severity and lesion regions. This paper presented the simulation of the 150 test images, where the results of analysis of retinal status showed that the sensitivity was 0.94 and specificity was 0.92.The proposed method can speed up diagnostic process and objectively evaluate the retinal status. CONCLUSIONS: This paper aims on studies of retinal status automatic analysis method based on feature extraction and quantitative grading in OCT images. The proposed method can obtain the parameters and the features that are associated with retinal morphology. Quantitative analysis and evaluation of these features are combined with reference model which can realize the target image abnormal judgment and provide a reference for disease diagnosis.

• Klíčová slova
• Feature quantification, Grade evaluation, Image processing, Morphological characterization, Retinal OCT images,
• MeSH
• diagnóza počítačová MeSH
• dospělí MeSH
• fundus oculi MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• optická koherentní tomografie * MeSH
• počítačové zpracování obrazu * MeSH
• poměr signál - šum MeSH
• retina diagnostické zobrazování   MeSH
• rozhodování MeSH
• senioři MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH