2nd ed. xviii, 826 s. : il. ; 25 cm
- MeSH
- Diagnostic Imaging MeSH
- Image Processing, Computer-Assisted MeSH
- Publication type
- Handbook MeSH
- Conspectus
- Speciální počítačové metody. Počítačová grafika
- NML Fields
- lékařská informatika
Byl vyvinut originální systém pro získání digitálního obrazu z mikroskopu BS 500. Ke dnu fotokazety je upevněn optický převaděč a TV CCD kamera připojená přes digitizér k počítači. K načítání a komplexnímu zpracování obrazu je použit software Video TIP, který umožňuje i vícenásobné snímání s výrazným vylepšením poměru signál/šum. Dosažená velikost obrazového elementu činí 42 ^m. Diskutuje se o dalším zlepšení parametrů systému, zejména použitím digitálhi CCD kamery s vysokým rozlišením.
Original digital image acquiring system for electron microscope TESLA BS500 was developed. Optical image from yttriumgamet monocrystal was captured by TV CCD bottom mounted camera and processed by computer with software Video TIP. Repeated image acquisition enabled substantial improving of signal/noise ratio. Image element of 42 ^m diameter was achieved. The system is ready for additional innovation, especially with a high performance CCD camera.
- MeSH
- Radiation Dosage MeSH
- Diagnostic Imaging trends MeSH
- Angiography, Digital Subtraction * methods instrumentation utilization MeSH
- Cardiovascular Diseases * diagnosis MeSH
- Contrast Media diagnostic use MeSH
- Humans MeSH
- Image Processing, Computer-Assisted methods utilization MeSH
- Radiography * methods utilization MeSH
- Subtraction Technique utilization MeSH
- Image Enhancement methods MeSH
- Check Tag
- Humans MeSH
sv.
- MeSH
- Medical Informatics MeSH
- Image Processing, Computer-Assisted MeSH
- Signal Processing, Computer-Assisted MeSH
- Publication type
- Periodical MeSH
- Conspectus
- Patologie. Klinická medicína
- NML Fields
- radiologie, nukleární medicína a zobrazovací metody
Background and Objectives: Semen analysis plays a vital role in understanding the healthy state of the sperm in men. The computer aided semen quantification technique quantifies the quality of the sperm from the semen sample which is digitally sampled and processed using digital image processing technique. Methods: The semen samples were collected from 402 infertile men aged between 25-50 years. Similarly 25 samples were collected from the age matched healthy fertile men (control group) as per the diagnostic report from the physician. A total of 427 samples used in this study were analyzed using traditional manual method (ground truth) and the proposed automated method based on the image processing algorithm. Results: Conventional semen analysis procedure was performed manually after liquefaction of the samples. The parameters such as morphology, sperm count and motility types were determined and compared between manual and automated methods. We have achieved a significant repeatability and reproducibility of the results using the automated method. Automated method has demonstrated to be computationally efficient and it required less amount of time to process any given field of view. It is also less susceptible to any rater bias for the analyzed field of view and the results were comparable with the manual method. Conclusions: In this article we describe the developmental stages involved in the semen analysis, custom built automated image analysis protocol and the report generation based on the parameters involving sperm count and motility types.
Background and Objectives: The development in the technology have witnessed that there is a revival of interest in drug discovery from medicinal plants for treatment of the most destructive diseases. Our investigation characterizes the usage of digital image processing techniques in Matlab to process and analyze the antimicrobial effects of the selected herbal plants. Methods: The first stage of our investigation involves the extraction of components with methanol from the selected three herbal plants- Solanum xanthocarpum, Solanum nigrum and Helianthus annuus by using soxhlet apparatus. These plant extracts were assayed for antimicrobial activity against 4 different bacterial and fungal species using disk diffusion method. Results: Notable cell growth inhibitions were observed from the selected microbes. Solanum xanthocarpum exhibits better antibacterial properties on comparison to other two extracts. Solanum nigrum and Helianthus annuus exhibit better antifungal properties by being sensitive factor towards fungal medium. The obtained images were processed using color coding techniques to determine the activity of the extract by isolating the region of inhibition area. The region of inhibition was measured using matlab code and tabulation was compiled to compare the manually measured distances to the automated measurements. Conclusions: The results provided evidence that the studied plant extracts might indeed be potential sources of natural antimicrobial agents and the introduction of an evaluation technique using image processing was shown to be suitable for the purpose of accurate measurements of zone of inhibition.
- MeSH
- Agar MeSH
- Anti-Bacterial Agents * pharmacokinetics pharmacology therapeutic use MeSH
- Antifungal Agents * pharmacokinetics pharmacology isolation & purification MeSH
- Phytotherapy * methods statistics & numerical data MeSH
- Helianthus MeSH
- Plants, Medicinal MeSH
- Computers statistics & numerical data utilization MeSH
- Plant Extracts * pharmacokinetics pharmacology MeSH
- Solanum MeSH
