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Titlebook: Non-Invasive Sperm Selection for In Vitro Fertilization; Novel Concepts and M Ashok Agarwal,Edson Borges Jr.,Amanda S. Setti Book 2015 Spri

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MSOME: Conventional Semen Analysis, Sperm Manipulation, and Cryopreservation,he conventional semen analysis. Moreover, different sperm preparation methods have been suggested to contribute for the recovery of enhanced spermatozoa fractions. Sperm handling and cryopreservation may result in the appearance of vacuoles due to different mechanisms. This chapter will discuss the
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MSOME and Sperm Chromatin Status, microscopy) to observe motile human spermatozoa at high magnification (at least 6,300×). Hence, this technique can evidence sperm head vacuoles that are not necessarily seen at lower magnifications—particularly if the vacuole is small (i.e., if it occupies <4 % of the sperm head’s area). However, a
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MSOME and Sperm DNA Integrity: Biological and Clinical Considerations,ogical abnormalities, not detectable at the magnification used in standard intracytoplasmic sperm injection (ICSI) (Bartoov et al., N. Engl. J. Med. 345:1067–1068, 2001). Intracytoplasmic morphologically selected sperm injection (IMSI), which uses MSOME for sperm selection, has been shown to improve
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Intracytoplasmic Morphologically Selected Sperm Injection (IMSI): Indications and Clinical Results,n, and early embryo development we established, a detailed sperm scoring classification according to strict morphology criteria; permitting to discard the worst spermatozoon, in real time, prior intracytoplasmic sperm injection..Our consideration of maternal age correlated to sperm score revealed a
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r describing the commonality and variability of systems at all stages of the software lifecycle. Software product lines enable a family of products to share a common core platform, while allowing for product specific functionality being built on top of the platform. Many companies have exploited the
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Khalid Alrabeeah MD, FRCSC,Armand Zini MDindustrial experiences of the usage of software variability .The success of product line engineering techniques in the last 15 years has popularized the use of software variability as a key modeling approach for describing the commonality and variability of systems at all stages of the software life
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