digital diffraction
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Background: Structured illumination microscopy (SIM) is a family of methods in optical fluorescence microscopy that can achieve both optical sectioning and super-resolution effects. SIM is a valuable method for high-resolution imaging of fixed cells or tissues labeled with conventional fluorophores, as well as for imaging the dynamics of live cells expressing fluorescent protein constructs. In SIM, one acquires a set of images with shifting illumination patterns. This set of images is subsequently treated with image analysis algorithms to produce an image with reduced out-of-focus light (optical sectioning) and/or with improved resolution (super-resolution). Findings: Five complete, freely available SIM datasets are presented including raw and analyzed data. We report methods for image acquisition and analysis using open-source software along with examples of the resulting images when processed with different methods. We processed the data using established optical sectioning SIM and super-resolution SIM methods and with newer Bayesian restoration approaches that we are developing. Conclusions: Various methods for SIM data acquisition and processing are actively being developed, but complete raw data from SIM experiments are not typically published. Publically available, high-quality raw data with examples of processed results will aid researchers when developing new methods in SIM. Biologists will also find interest in the high-resolution images of animal tissues and cells we acquired. All of the data were processed with SIMToolbox, an open-source and freely available software solution for SIM.
- MeSH
- algoritmy MeSH
- Bayesova věta MeSH
- buněčné linie MeSH
- buňky Hep G2 MeSH
- fluorescenční mikroskopie MeSH
- králíci MeSH
- lidé MeSH
- počítačové zpracování obrazu metody MeSH
- software MeSH
- zobrazování trojrozměrné metody MeSH
- zvířata MeSH
- Check Tag
- králíci MeSH
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
- MeSH
- fluorescenční mikroskopie dějiny metody MeSH
- konfokální mikroskopie dějiny metody MeSH
- lidé MeSH
- mikroskopie atomárních sil dějiny metody MeSH
- mikroskopie elektronová rastrovací dějiny metody MeSH
- mikroskopie fázově kontrastní dějiny metody MeSH
- počítačové zpracování obrazu dějiny metody MeSH
- transmisní elektronová mikroskopie dějiny metody MeSH
- Check Tag
- lidé MeSH
The aim of this study was to follow the skin penetration of a model lipophilic compound (Nile red) delivered by nanoparticulate carriers, the so-called lipid nanocapsules. The nanocapsules consisting of an oil core stabilized by amixture of surfactants were prepared by the phase inversion temperature method. Varying the particle composition (the oil/surfactant ratio) nanoparticles of different size were prepared and characterized. The penetration profile of Nile red delivered into the porcine skin by the nanoparticles compared to non-particulate samples was determined using fluorescence microscopy combined with a novel, statistically robust quantitative image analysis method. This study demonstrated that lipid nanoparticles promoted the skin penetration of encapsulated Nile red in comparison with all the non-particulate samples. Nile red delivered by the lipid-based nanoparticles was able to diffuse across the stratum corneum and partition itself uniformly in the epidermis. No relationship between Nile red penetration into the skin and the particle size was found. Moreover, the presence of sodium chloride in the water phase had a negative impact on the Nile red penetration into the skin. The results indicate that the physico-chemical circumstances of the nanoparticulate formulation play the major role in the penetration of lipophilic substances into the skin.
- MeSH
- epidermis účinky léků MeSH
- fluorescenční mikroskopie MeSH
- konfokální mikroskopie MeSH
- kožní absorpce MeSH
- kůže účinky léků patologie MeSH
- lékové transportní systémy MeSH
- lipidy chemie MeSH
- nanočástice chemie MeSH
- nanokapsle chemie MeSH
- nosiče léků chemie MeSH
- oleje chemie MeSH
- oxaziny chemie MeSH
- počítačové zpracování obrazu MeSH
- povrchově aktivní látky chemie MeSH
- prasata MeSH
- software MeSH
- transmisní elektronová mikroskopie MeSH
- velikost částic MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Stable Pd nanocubes (PdNC) with the average size ~15 nm were prepared by the controlled reduction of sodium tetrachloropalladate with ascorbic acid in water, in the presence of polyvinylpyrrolidone and potassium bromide. Morphology of the particles was characterized by transmission electron microscopy (TEM) and their stability in the colloidal solution was verified by dynamic light scattering (DLS). It has been demonstrated that the Pd nanocubes can be distinguished from commercial Au nanospheres in a standard TEM microscope by means of automated image analysis. In the next step, the PdNC were successfully conjugated to immunoglobulin proteins and used for the detection of a specific protein (nucleophosmin) on ultrathin sections of HeLa cells. Our experiments showed that PdNC can be used for multiple immunolabeling in combination with commercial Au nanospheres.
- MeSH
- barvení a značení metody MeSH
- bromidy chemie MeSH
- HeLa buňky MeSH
- imunoglobuliny chemie MeSH
- imunokonjugáty chemie MeSH
- jaderné proteiny analýza MeSH
- koloidy MeSH
- kovové nanočástice chemie ultrastruktura MeSH
- kyselina askorbová chemie MeSH
- lidé MeSH
- mikrotomie MeSH
- palladium chemie MeSH
- počítačové zpracování obrazu MeSH
- povidon chemie MeSH
- sloučeniny draslíku chemie MeSH
- transmisní elektronová mikroskopie MeSH
- velikost částic MeSH
- voda MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Project INDECS (integrated neutron diffraction experiment control system) is a newly developed software system created for the purpose of data acquisition from, and controlling of, the KSN-2 neutron diffractometer equipped with PSDs. For the actual data acquisition and initial data analysis of the raw sampled signals a special modular structure called the PSD acquisition path (or PSDAP) was designed. PSDAP also allows to store the raw data, which can be later replayed without actually performing the experiment again.
- MeSH
- analýza selhání vybavení MeSH
- dávka záření MeSH
- design s pomocí počítače MeSH
- design vybavení MeSH
- měniče MeSH
- neutrony MeSH
- počítačové zpracování signálu přístrojové vybavení MeSH
- radiometrie přístrojové vybavení MeSH
- refraktometrie přístrojové vybavení MeSH
- reprodukovatelnost výsledků MeSH
- senzitivita a specificita MeSH
- ukládání a vyhledávání informací MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions can be achieved. Here we introduce a software tool for a simple qualitative comparison of SOFI images under simulated conditions considering parameters of the microscope setup and essential properties of the biological sample. This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion. Fast testing of various parameters simplifies the parameter optimization prior to experimental work. The performance of the simulation tool is demonstrated by comparing simulated results with experimentally acquired data.
- MeSH
- algoritmy MeSH
- fluorescenční mikroskopie * MeSH
- HeLa buňky MeSH
- lidé MeSH
- počítačové zpracování obrazu metody MeSH
- software * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
The particle size and shape of raw materials influence the manufacture and behavior of solid dosage forms. The most widely used methods of particle size measurement are laser diffraction and image analysis. These methods are based on different principles and measurement ranges. Only the results obtained by the same method under the same conditions can be compared. Laser diffraction is significantly faster if a validated method is known. The method is defined for every raw material to guarantee reproducibility of measurement. Image analysis is inexpensive and does not require the validated method. Shape information is easily provided by image analysis. Laser diffraction is a suitable method for routine quality control. Image analysis is an optimal technique for development of pharmaceuticals.
- MeSH
- faktorová analýza statistická MeSH
- farmaceutická technologie * metody přístrojové vybavení trendy MeSH
- farmaceutická vehikula MeSH
- farmaceutické pomocné látky MeSH
- lasery pevnolátkové * využití MeSH
- lidé MeSH
- mikroskopie metody využití MeSH
- počítačové zpracování obrazu MeSH
- pomocné látky MeSH
- velikost částic * MeSH
- způsoby aplikace léků * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- práce podpořená grantem MeSH