Bioimaging
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Scientific American, ISSN 1213-7723 číslo 2, příloha, 2020
19 stran : ilustrace ; 28 cm
- MeSH
- biomedicínský výzkum MeSH
- mikroskopie MeSH
- Geografické názvy
- Česká republika MeSH
- Konspekt
- Věda. Všeobecnosti. Základy vědy a kultury. Vědecká práce
- NLK Obory
- věda a výzkum
- přírodní vědy
- mikrobiologie, lékařská mikrobiologie
- NLK Publikační typ
- brožury
This study illustrates the synthesis of functionalized carbon quantum dots (CQDs) by the one-pot pyrolysis method. The functionalization agent used in CQD synthesis was poly l- lysine (PLL). Various physicochemical techniques were employed to confirm the successful formation of PLLCQD including High resolution transmission electron microscopy (HR-TEM), UV-Vis spectroscopy, fluorescence spectroscopy; Atomic force microscopy (AFM), X-ray Photoelectron Spectroscopy (XPS) and X-ray diffraction (XRD) and Fourier transform infrared (FTIR) spectroscopy. The size of PLLCQD was confirmed by HRTEM and AFM. The synthesized PLLCQD shows bright blue fluorescence and has a quantum yield of 19.35%. The highest emission band was observed at 471nm when excited to 370nm. The prepared PLLCQD exhibited excellent antibacterial activity against Escherichia coli and Staphylococcus aureus with inhibition zone 7-20 mm. The concentrations of 0.9 to 0.1gmL-1 were studied to determine minimum inhibitory concentration (MIC) by the agar well diffusion assay method. MIC of 0.2gml -1 concentration of PLLCQD is achieved. The anti-angiogenic activity of PLLCQD was determined using (Chick Chorioallantoic Membrane) CAM assay. CAM assay is a reliable in -vivo model to study angiogenesis also; many stimulators and inhibitors have been examined by this method. This study proves higher antibacterial efficiency of PLLCQD over non functionalized CQD. PLLCQD was successfully employed in bio-imaging of the bacterial cell through fluorescence microscopy. Further, PLLCQD displayed cytotoxic effect on endothelial cells and inhibited blood vessel formation in the CAM model.
Mitotic cell division in plants is a dynamic process playing a key role in plant morphogenesis, growth, and development. Since progress of mitosis is highly sensitive to external stresses, documentation of mitotic cell division in living plants requires fast and gentle live-cell imaging microscopy methods and suitable sample preparation procedures. This chapter describes, both theoretically and practically, currently used advanced microscopy methods for the live-cell visualization of the entire process of plant mitosis. These methods include microscopy modalities based on spinning disk, Airyscan confocal laser scanning, structured illumination, and light-sheet bioimaging of tissues or whole plant organs with diverse spatiotemporal resolution. Examples are provided from studies of mitotic cell division using microtubule molecular markers in the model plant Arabidopsis thaliana, and from deep imaging of mitotic microtubules in robust plant samples, such as legume crop species Medicago sativa.
Similar to the medical imaging community, the bioimaging community has recently realized the need to benchmark various image analysis methods to compare their performance and assess their suitability for specific applications. Challenges sponsored by prestigious conferences have proven to be an effective means of encouraging benchmarking and new algorithm development for a particular type of image data. Bioimage analysis challenges have recently complemented medical image analysis challenges, especially in the case of the International Symposium on Biomedical Imaging (ISBI). This review summarizes recent progress in this respect and describes the general process of designing a bioimage analysis benchmark or challenge, including the proper selection of datasets and evaluation metrics. It also presents examples of specific target applications and biological research tasks that have benefited from these challenges with respect to the performance of automatic image analysis methods that are crucial for the given task. Finally, available benchmarks and challenges in terms of common features, possible classification and implications drawn from the results are analysed.
- MeSH
- algoritmy MeSH
- benchmarking * MeSH
- faktografické databáze MeSH
- fluorescenční mikroskopie přístrojové vybavení metody normy MeSH
- lidé MeSH
- molekulární zobrazování přístrojové vybavení metody normy MeSH
- počítačové zpracování obrazu metody statistika a číselné údaje MeSH
- rozpoznávání automatizované statistika a číselné údaje MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
The classification of bioimages plays an important role in several biological studies, such as subcellular localisation, phenotype identification and other types of histopathological examinations. The objective of the present study was to develop a computer-aided bioimage classification method for the classification of bioimages across nine diverse benchmark datasets. A novel algorithm was developed, which systematically fused the features extracted from nine different convolution neural network architectures. A systematic fusion of features boosts the performance of a classifier but at the cost of the high dimensionality of the fused feature set. Therefore, non-discriminatory and redundant features need to be removed from a high-dimensional fused feature set to improve the classification performance and reduce the time complexity. To achieve this aim, a method based on analysis of variance and evolutionary feature selection was developed to select an optimal set of discriminatory features from the fused feature set. The proposed method was evaluated on nine different benchmark datasets. The experimental results showed that the proposed method achieved superior performance, with a significant reduction in the dimensionality of the fused feature set for most bioimage datasets. The performance of the proposed feature selection method was better than that of some of the most recent and classical methods used for feature selection. Thus, the proposed method was desirable because of its superior performance and high compression ratio, which significantly reduced the computational complexity.
- MeSH
- algoritmy * MeSH
- neuronové sítě * MeSH
- Publikační typ
- časopisecké články MeSH
sv.
- MeSH
- přírodní vědy MeSH
- věda MeSH
- Publikační typ
- periodika MeSH
- populární práce MeSH
- Konspekt
- Věda. Všeobecnosti. Základy vědy a kultury. Vědecká práce
- NLK Obory
- věda a výzkum
Fluorescent nanodiamonds (NDs) attracted attention as a new promising type of nanoparticles for bioapplications. This carbon nanomaterial with low-toxicity is able to accommodate fluorescent nitrogen-vacancy (N-V) color centers, prime examples of non-photobleachable defects of diamond crystal lattice. An overview of ND applications in bioimaging is presented. NDs are compared with other fluorescent probes and their specific chemical and colloidal properties were shown. The biologically relevant properties of fluorescent NDs such as toxicity, biocompatibility and their cellular localization and internalization are discussed.
- MeSH
- cílená molekulární terapie využití MeSH
- fluorescence * MeSH
- fluorescenční barviva chemie MeSH
- lékové transportní systémy využití MeSH
- lidé MeSH
- luminiscence MeSH
- molekulární sondy - techniky MeSH
- molekulární zobrazování * MeSH
- nanodiamanty * chemie MeSH
- nanostruktury MeSH
- Ramanova spektroskopie MeSH
- umělé receptory * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- práce podpořená grantem MeSH
Biopolymers are of prime importance among which gum polysaccharides hold an eminent standing owing to their high availability and non-toxic nature. Gum biopolymers offer a greener alternative to synthetic polymers and toxic chemicals in the synthesis of metal nanostructures. Metal nanostructures accessible via eco-friendly means endow astounding characteristics to gum-based biocomposites in the field of diagnosis and therapy towards cancer diseases. In this review, assorted approaches for the assembly of nanomaterials mediated by gum biopolymers are presented and their utility in cancer diagnosis and therapy, e.g., bioimaging, radiotherapy, and phototherapy, are deliberated to provide a groundwork for future stimulative research.
- MeSH
- fototerapie MeSH
- lidé MeSH
- nádory * diagnóza farmakoterapie MeSH
- nanostruktury * MeSH
- polymery MeSH
- polysacharidy MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
