Effect of staining methods on human sperm morphometrics using HT CASA II - 19/01/22

Doi : 10.1016/j.jogoh.2022.102322

Jirattikan Chaiya ^a, Nipattha Vinayanuvattikhun ^b, Chamnan Tanprasertkul ^b, Tanyawan Chaidarun ^c, Titichaya Mebuathong ^d, Chollanot Kaset ^d,^e,^⁎
^a Thammasat Fertility Center, Thammasat University Hospital, Pathumthani, Thailand
^b Department of Obstetrics and Gynecology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
^c Faculty of Medicine, Thammasat University, Pathumthani, Thailand
^d Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Pathumthani, Thailand
^e Research Unit in Medical Technology Innovation and Precision Medicine, Thammasat University, Pathumthani, Thailand

^⁎Corresponding author: Rangsit Campus, 99 Moo18, Klongluang, 12120Rangsit Campus, 99 Moo18Klongluang12120

Sous presse. Manuscrit accepté. Disponible en ligne depuis le Wednesday 19 January 2022
Cet article a été publié dans un numéro de la revue, cliquez ici pour y accéder

ABSTRACT

Objective

: To utilize computer-assisted semen analysis (CASA) for comparison of sperm morphometrics between fresh sperm and three different staining methods

Methods

: Semen samples from 140 volunteers were stained with Diff-Quik (DQ), SpermBlue (SB), and black glutinous rice extract (BR). Morphometry by automatic CASA evaluated head defects, width, length and presence of normal sperm and acrosomes.

Results

: Comparison of width and length between fresh sperm heads and those stained by the three methods found that DQ produced averages that were higher (p<0.05), whereas results obtained from SB and BR dyes were consistent with those of fresh sperm. Parameter measurements between SB and BR did not statistically significantly differ. In contrast, sperm head defects were found to be significantly varied among all techniques. Also, percentages of normal sperm and normal acrosomes were significantly different (p<0.05), with the exception that percentage of normal acrosomes from DQ were consistent to those from SB and BR.

Conclusion

: The implemented stains will impact sperm morphometrics. This dilemma can be mitigated if specific criteria of CASA parameters are defined for each stain; this would be particularly applicable for evaluation of novel dyes.

Le texte complet de cet article est disponible en PDF.

Keywords : Computer-assisted semen analysis, sperm morphology, Diff-Quik, SpermBlue, Black glutinous rice extract