Literature DB >> 31583732

Automation of human semen analysis using a novel artificial intelligence optical microscopic technology.

Ashok Agarwal1, Ralf Henkel1,2, Chun-Chia Huang3, Maw-Sheng Lee3,4.   

Abstract

Current semen analysis still commonly depends on a manual microscopy method in clinical laboratories worldwide. However, some of the major disadvantages of this technique are that it is labour-intensive, subjective, laboratory-based and time-consuming. Although computer-assisted semen analysers (CASAs) have enabled partial automation of routine semen analysis, they lack wider acceptance due to their complicated operation. Therefore, the development of an accessible, rapid and standardised method for semen analysis is urgently needed. Here, we describe the development and clinical testing of a novel, automated, artificial intelligence optical microscopic (AIOM)-based technology, LensHooke™ X1 PRO (X1 PRO), designed for the quantitative measurement of sperm concentration, motility and seminal pH. We observed high degree of correlation in the results of concentration, progressive motility and progressively motile sperm concentration between the X1 PRO semen analyser and manual method using 135 clinical semen samples. In addition, the seminal pH results obtained by X1 PRO and manual methods were comparable (p = .12). In summary, our results showed that new X1 PRO semen analyser is a reliable diagnostic tool for routine semen analysis providing clinically acceptable results based on World Health Organization (WHO) 5th Edition guidelines.
© 2019 Blackwell Verlag GmbH.

Entities:  

Keywords:  LensHook™ X1 PRO; automated semen analysis; computer-assisted sperm analysis; sperm concentration

Mesh:

Year:  2019        PMID: 31583732     DOI: 10.1111/and.13440

Source DB:  PubMed          Journal:  Andrologia        ISSN: 0303-4569            Impact factor:   2.775


  5 in total

1.  A collective tracking method for preliminary sperm analysis.

Authors:  Sung-Yang Wei; Hsuan-Hao Chao; Han-Ping Huang; Chang Francis Hsu; Sheng-Hsiang Li; Long Hsu
Journal:  Biomed Eng Online       Date:  2019-11-27       Impact factor: 2.819

2.  Validation of LensHooke® X1 PRO and Computer-Assisted Semen Analyzer Compared with Laboratory-Based Manual Semen Analysis.

Authors:  Ashok Agarwal; Manesh Kumar Panner Selvam; Rafael F Ambar
Journal:  World J Mens Health       Date:  2021-02-05       Impact factor: 5.400

Review 3.  The validity and reliability of computer-aided semen analyzers in performing semen analysis: a systematic review.

Authors:  Renata Finelli; Kristian Leisegang; Samhita Tumallapalli; Ralf Henkel; Ashok Agarwal
Journal:  Transl Androl Urol       Date:  2021-07

Review 4.  Standardized Laboratory Procedures, Quality Control and Quality Assurance Are Key Requirements for Accurate Semen Analysis in the Evaluation of Infertile Male.

Authors:  Ashok Agarwal; Rakesh Sharma; Sajal Gupta; Renata Finelli; Neel Parekh; Manesh Kumar Panner Selvam; Camila Pinho Pompeu; Sarah Madani; Andrea Belo; Mahsa Darbandi; Neha Singh; Sara Darbandi; Simryn Covarrubias; Raha Sadeghi; Mohamed Arafa; Ahmad Majzoub; Meaghanne Caraballo; Alyssa Giroski; Kourtney McNulty; Damayanthi Durairajanayagam; Ralf Henkel
Journal:  World J Mens Health       Date:  2021-04-21       Impact factor: 5.400

5.  Initial application of deep learning to borescope detection of endoscope working channel damage and residue.

Authors:  Monique T Barakat; Mohit Girotra; Subhas Banerjee
Journal:  Endosc Int Open       Date:  2022-01-14
  5 in total

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