Artificial intelligence model for the assessment of unstained live sperm morphology
Traditional sperm morphology assessment requires staining and high magnification (100×), rendering sperm unsuitable for further use. We aimed to determine whether an in-house artificial intelligence (AI) model could reliably assess normal sperm morphology in living sperm and compare its performance...
Saved in:
| Main Authors: | Jermphiphut Jaruenpunyasak, Prawai Maneelert, Marwan Nawae, Chainarong Choksuchat |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Bioscientifica
2025-05-01
|
| Series: | Reproduction and Fertility |
| Subjects: | |
| Online Access: | https://raf.bioscientifica.com/view/journals/raf/6/2/RAF-25-0014.xml |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RESEARCH ON CERTAIN AGE MODIFICATIONS IN MORPHOLOGY AND PHYSIOLOGICAL INDICATORS OF SPERM IN PATIENTS WITH REPRODUCTIVE PROBLEMS
by: Victoria Necheva, et al.
Published: (2019-02-01) -
Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm
by: Peiran Lei, et al.
Published: (2025-05-01) -
Use of a sperm morphology assessment standardisation training tool improves the accuracy of novice sperm morphologists
by: Katherine Rose Seymour, et al.
Published: (2025-07-01) -
Effects of Varicocelectomy Surgery on Sperm Morphology and Male Fertility
by: Mir Abid Jan, et al.
Published: (2025-07-01) -
Effect of age and scrotal circumference on sperm morphology in Brahman bulls using a modified fixation technique
by: Francisco Sevilla, et al.
Published: (2025-08-01)