Use of automated imaging and analysis technology for the detection of aneuploidy in human sperm.
OBJECTIVE: To determine the precision and accuracy of an automated cell counting system when applied to counting aneuploidies in sperm samples. DESIGN: Prospective pilot study. SETTING: Andrology clinic and research laboratory in a university teaching hospital. PATIENT(S): Ten anonymous sperm donors of known fertility and two patients seeking infertility treatment. INTERVENTION(S): Semen samples were processed for detection of aneuploidies for chromosomes 13, 18, 21, X, and Y with use of fluorescent in situ hybridization. The detection of chromosome aneuploidy was performed both by manual counting and by the use of an automated cell counting system with manual review of aneuploid sperm. MAIN OUTCOME MEASURE(S): Semen samples were judged for the percent aneuploidy for chromosomes 13, 18, 21, X, and Y when counted manually or with the use of the automated cell counting system and review by a technician. RESULT(S): The sperm aneuploidy rates determined by the automated cell counting system and careful review were comparable with those obtained by manual counting by a trained technician. CONCLUSION(S): These preliminary data demonstrate that automated cell counting devices may be useful in increasing productivity in aneuploidy detection in sperm and may become an alternative to the labor-intensive manual counting by technicians.