Abstract
Infertility is a world disease in which a couple is unable to achieve pregnancy. There are numerous parameters to determinate fertility; nevertheless, sperm motility is by consensus one of the most important attributes to evaluate male fertility. Contributions to a better understanding of this crucial parameter are imperative; hence, the aim of this investigation was to assess the effect of low-energy laser irradiation on sperm cell dynamics in thawed samples that were cryopreserved. We used a 405 nm blue laser beam to irradiate spermatic cells from rabbit inside a temperature-controlled dispersion chamber at 37 °C; then, we applied an image recognizing system to calculate individual sperm trajectories and velocities. We found that sperms raise its motility after irradiation suggesting that λ=405 nm is an optimal wavelength for spermatic photo-stimulation.
Highlights
The x-ray spectra quantify the amount of photons and its energies in a x-ray beam
The motivation of the study was related to the robustness of the spectra as a descriptor of radiation beams and the possibility of using these transmitted spectra for dose assessment related to mammographic procedures
The filled and unfilled symbols represents the half value layer (HVL) values obtained for the x-ray spectra transmitted for the breast phantoms CIRS30/70 and CIRS50/50, respectively
Summary
The x-ray spectra quantify the amount of photons and its energies in a x-ray beam. It allows the calculation of derived quantities, generally applied for Journal of Nuclear Physics, Material Sciences, Radiation and Applications Vol-5 No-1 August 2017 pp. 91–102Santos, J.C. The x-ray spectra quantify the amount of photons and its energies in a x-ray beam. It allows the calculation of derived quantities, generally applied for Journal of Nuclear Physics, Material Sciences, Radiation and Applications Vol-5 No-1 August 2017 pp. An accurate representation of x-ray spectra used for radiological purposes is important for modeling the x-ray imaging process (Stumbo et al (2004)). It allows the conversion of exposure information in dosimetric quantities for dose/image quality optimization (Bernhardt et al (2006)). Evaluation of mammographic radiation beam qualities and image properties have been previously presented byTomal et al (2013, 2014)
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