image cytometry
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S cílem testovat nově vyvinutý aplikační modul analýzy DNA v barevném systému obrazové analýzy LUCIA G a zavést standardizovaný protokol měření byla paralelně provedena analýza DNA v histologických řezech a cytoseparovaných preparátech. Použit byl rutinní bioptický materiál uroteliálních karcinomů (Gl: n = 6, G2: n = 6, G3: n = 6). V obou typech preparátů barvených dle Feulgena bylo měřeno min. 100 nádorových a min. 30 referenčních buněk a porovnány DNA charakteristiky (střední obsah DNA, DI, 2cDI, stupeň malignity dle Bockinga). Porovnávány byly rovněž typy histogramů v Auerově klasifikaci (AI-AIV). Většina karcinomů byla aneuploidní (dvě třetiny Gl, všechny G2 a G3). Nejběžnější byl histogram typu ATV. Stupeň malignity byl většinou mírně vyšší v cytoseparovaných vzorcích, tvary histogramů byly analogické. Dva karcinomy euploidní v histologickém materiálu vykázaly aneuploidii V cytoseparovaném vzorku. Snazší měření ve tkáňovém řezu poskytlo ve většině případů použitelnou informaci. Případy bez prokázané aneuploidie je nutno vyšetřit i v cytoseparovaném vzorku. K použití cytoseparací se přiklánějí i současná mezinárodní standardizační jednání. Důležitým prvkem měřícího systému je zkušený patolog schopný striktně dodržet protokol.
OBJECTIVE: To introduce and test a standardized measurement protocol for DNA image cytometry into a newly developed LUCIA G system application program. Contribution to a discussion concerning the possibility of using the histology sections for DNA image cytometry. STUDY DESIGN: Routine biopsy material from 18 urinary bladder cancer cases was analyzed (wade 1: n = 6, Grade 2: n = 6, Grade 3: n = 6), both in histological and in cytoseparated preparations. More than one hundred diagnostic and more than 30 reference cells were measured. DNA features (mean DNA value, 2cDI, Booking's grade of malignancy) and histogram types in Auer's classification (AI-IV) were compared. RESULTS: Most carcinomas measured were aneuploid (two.thirds Gl, all G2, G3). The most common histogram type was A IV. Malignancy grade was mostly slightly higher in cytoseparated material, the shape of the histogram was analogous. Two carcinomas looking euploid in histology sections were proven aneuploid in cytoseparation. CONCLUSION: More convenient tissue section measurement provided useful DNA profile information in most cases. Those without proven aneuploidy should be additionally measured in cytoseparations. An experienced pathologist meeting strictly measurement protocol demands is an important part of the measurement system.
- MeSH
- diagnóza počítačová MeSH
- DNA analýza MeSH
- karcinom diagnóza MeSH
- lidé MeSH
- nádory podle histologického typu MeSH
- obrazová cytometrie metody přístrojové vybavení MeSH
- software MeSH
- urologické nádory diagnóza MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- přehledy MeSH
The simulations of cells and microscope images thereof have been used to facilitate the development, selection, and validation of image analysis algorithms employed in cytometry as well as for modeling and understanding cell structure and dynamics beyond what is visible in the eyepiece. The simulation approaches vary from simple parametric models of specific cell components-especially shapes of cells and cell nuclei-to learning-based synthesis and multi-stage simulation models for complex scenes that simultaneously visualize multiple object types and incorporate various properties of the imaged objects and laws of image formation. This review covers advances in artificial digital cell generation at scales ranging from particles up to tissue synthesis and microscope image simulation methods, provides examples of the use of simulated images for various purposes ranging from subcellular object detection to cell tracking, and discusses how such simulators have been validated. Finally, the future possibilities and limitations of simulation-based validation are considered. © 2016 International Society for Advancement of Cytometry.
- MeSH
- algoritmy MeSH
- interpretace obrazu počítačem metody MeSH
- lidé MeSH
- obrazová cytometrie metody MeSH
- rozpoznávání automatizované metody MeSH
- umělá inteligence MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Image cytometry still faces the problem of the quality of cell image analysis results. Degradations caused by cell preparation, optics, and electronics considerably affect most 2D and 3D cell image data acquired using optical microscopy. That is why image processing algorithms applied to these data typically offer imprecise and unreliable results. As the ground truth for given image data is not available in most experiments, the outputs of different image analysis methods can be neither verified nor compared to each other. Some papers solve this problem partially with estimates of ground truth by experts in the field (biologists or physicians). However, in many cases, such a ground truth estimate is very subjective and strongly varies between different experts. To overcome these difficulties, we have created a toolbox that can generate 3D digital phantoms of specific cellular components along with their corresponding images degraded by specific optics and electronics. The user can then apply image analysis methods to such simulated image data. The analysis results (such as segmentation or measurement results) can be compared with ground truth derived from input object digital phantoms (or measurements on them). In this way, image analysis methods can be compared with each other and their quality (based on the difference from ground truth) can be computed. We have also evaluated the plausibility of the synthetic images, measured by their similarity to real image data. We have tested several similarity criteria such as visual comparison, intensity histograms, central moments, frequency analysis, entropy, and 3D Haralick features. The results indicate a high degree of similarity between real and simulated image data.
- MeSH
- algoritmy MeSH
- buněčné jadérko ultrastruktura MeSH
- buněčné jádro MeSH
- fantomy radiodiagnostické MeSH
- fluorescenční mikroskopie metody MeSH
- granulocyty cytologie MeSH
- HL-60 buňky MeSH
- lidé MeSH
- mikrosféry MeSH
- obrazová cytometrie metody MeSH
- zobrazování trojrozměrné metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- práce podpořená grantem MeSH
Microscopy handbooks ; 46
1st ed. x, 116 s. : il.
- MeSH
- obrazová cytometrie MeSH
- Publikační typ
- příručky MeSH
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- chemie, klinická chemie
Methods in cell biology ; vol. 103
5th ed. xvii, 379 s., [8] s. barev. obr. příl. : il. ; 25 cm
- MeSH
- biologie buňky MeSH
- cytogenetika MeSH
- imunofenotypizace MeSH
- obrazová cytometrie metody MeSH
- průtoková cytometrie * metody MeSH
- Publikační typ
- monografie MeSH
- Konspekt
- Buněčná biologie. Cytologie
- NLK Obory
- cytologie, klinická cytologie
Excerpta medica. 933, International congress series
368 s. : obr., tab., přeruš.bibliogr.
- MeSH
- diagnostické zobrazování * MeSH
- průtoková cytometrie metody MeSH
- Publikační typ
- komentáře MeSH
- úvodníky MeSH
Automated image analysis scoring of micronuclei (MN) in cells can facilitate the objective and rapid measurement of genetic damage in mammalian and human cells. This approach was repeatedly developed and tested over the past two decades but none of the systems were sufficiently robust for routine analysis of MN until recently. New methodological, hardware and software developments have now allowed more advanced systems to become available. This mini-review presents the current stage of development and validation of the Metasystems Metafer MNScore system for automated image analysis scoring of MN in cytokinesis-blocked binucleated lymphocytes, which is the best-established method for studying MN formation in humans. The results and experience of users of this system from 2004 until today are reviewed in this paper. Significant achievements in the application of this method in research related to mutagen sensitivity phenotype in cancer risk, radiation biodosimetry and biomonitoring studies of air pollution (enriched by new data) are described. Advantages as well as limitations of automated image analysis in comparison with traditional visual analysis are discussed. The current increased use of the Metasystems Metafer MNScore system in various studies and the growing number of publications based on automated image analysis scoring of MN is promising for the ongoing and future application of this approach.
- MeSH
- dítě MeSH
- dospělí MeSH
- kojenec MeSH
- lidé středního věku MeSH
- lidé MeSH
- lymfocyty účinky léků ultrastruktura MeSH
- mikrojaderné testy přístrojové vybavení MeSH
- mikrojádra chromozomálně defektní MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mutageny toxicita MeSH
- novorozenec MeSH
- obrazová cytometrie metody MeSH
- počet lymfocytů metody MeSH
- počítačové zpracování obrazu metody MeSH
- předškolní dítě MeSH
- senioři MeSH
- vztah mezi dávkou a účinkem léčiva MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- kojenec MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
