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Costa-Borges N, Munné S, Albó E, Mas S, Castelló C, Giralt G, Lu Z, Chau C, Acacio M, Mestres E, Matia Q, Marquès L, Rius M, Márquez C, Vanrell I, Pujol A, Mataró D, Seth-Smith M, Mollinedo L, Calderón G, Zhang J. First babies conceived with Automated Intracytoplasmic Sperm Injection. Reprod Biomed Online 2023; 47:103237. [PMID: 37400320 DOI: 10.1016/j.rbmo.2023.05.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/14/2023] [Accepted: 05/17/2023] [Indexed: 07/05/2023]
Abstract
RESEARCH QUESTION Can an automated sperm injection robot perform Automated Intracytoplasmic Sperm Injection (ICSIA) for use in human IVF? DESIGN The ICSIA robot automated the sperm injection procedure, including injection pipette advancement, zona pellucida and oolemma penetration with piezo pulses, and pipette removal after sperm release. The robot was first tested in mouse, hamster and rabbit oocytes, and subsequently using discarded human oocytes injected with microbeads. A small clinical pilot trial was conducted with donor oocytes to study the feasibility of the robot in a clinical setting. The ICSIA robot was controlled by engineers with no micromanipulation experience. Results were compared with those obtained with manual ICSI conducted by experienced embryologists. RESULTS The ICSIA robot demonstrated similar results to the manual procedure in the different animal models tested as well as in the pre-clinical validations conducted in discarded human oocytes. In the clinical validation, 13 out of 14 oocytes injected with ICSIA fertilized correctly versus 16 out of 18 in the manual control; eight developed into good-quality blastocysts versus 12 in the manual control; and four were diagnosed as chromosomally normal versus 10 euploid in the manual control. Three euploid blastocysts from the ICSIA robot group have been transferred into two recipients, which resulted in two singleton pregnancies and two babies born. CONCLUSIONS The ICSIA robot showed high proficiency in injecting animal and human oocytes when operated by inexperienced personnel. The preliminary results obtained in this first clinical pilot trial are within key performance indicators.
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Affiliation(s)
| | | | | | | | | | | | - Zhuo Lu
- New Hope Fertility Center, NY, USA
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Abdullah KAL, Atazhanova T, Chavez-Badiola A, Shivhare SB. Automation in ART: Paving the Way for the Future of Infertility Treatment. Reprod Sci 2023; 30:1006-1016. [PMID: 35922741 PMCID: PMC10160149 DOI: 10.1007/s43032-022-00941-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 04/09/2022] [Indexed: 01/11/2023]
Abstract
In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IVF procedures are currently limited by accessibility, affordability and most importantly multistep, labour-intensive, technically challenging processes undertaken by skilled professionals. Therefore, in order to sustain the exponential demand for IVF on one hand, and streamline existing processes on the other, innovation is essential. This may not only effectively manage clinical time but also reduce cost, thereby increasing accessibility, affordability and efficiency. Recent years have seen a diverse range of technologies, some integrated with artificial intelligence, throughout the IVF pathway, which promise personalisation and, at least, partial automation in the not-so-distant future. This review aims to summarise the rapidly evolving state of these innovations in automation, with or without the integration of artificial intelligence, encompassing the patient treatment pathway, gamete/embryo selection, endometrial evaluation and cryopreservation of gametes/embryos. Additionally, it shall highlight the resulting prospective change in the role of IVF professionals and challenges of implementation of some of these technologies, thereby aiming to motivate continued research in this field.
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Affiliation(s)
- Kadrina Abdul Latif Abdullah
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Level 3, Women's Centre, John Radcliffe Hospital, Oxford, OX3 9DU, England
| | - Tomiris Atazhanova
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Level 3, Women's Centre, John Radcliffe Hospital, Oxford, OX3 9DU, England
| | | | - Sourima Biswas Shivhare
- TFP Simply Fertility, W Hanningfield Rd, Great Baddow, Chelmsford, CM2 8HN, England.
- The Centre for Reproductive and Genetic Health, London, UK.
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3
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Zhai R, Shan G, Dai C, Hao M, Zhu J, Ru C, Sun Y. Automated Denudation of Oocytes. MICROMACHINES 2022; 13:1301. [PMID: 36014223 PMCID: PMC9414171 DOI: 10.3390/mi13081301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/07/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
Denudation is a technique for removal of the cumulus cell mass from oocytes in clinical intracytoplasmic sperm injection (ICSI). Manual oocyte denudation requires long training hours and stringent skills, but still suffers from low yield rate and denudation efficiency due to human fatigue and skill variations across operators. To address these limitations, this paper reports a robotic system for automated oocyte denudation. In this system, several key techniques are proposed, including a vision-based contact detection method for measuring the relative z position between the micropipette tip and the dish substrate, recognition of oocytes and the surrounding cumulus cells, automated calibration algorithm for eliminating the misalignment angle, and automated control of the flow rate based on the model of oocyte dynamics during micropipette aspiration and deposition. Experiments on mouse oocytes demonstrated that the robotic denudation system achieved a high yield rate of 97.0 ± 2.8% and denudation efficiency of 95.0 ± 0.8%. Additionally, oocytes denuded by the robotic system showed comparable fertilization rate and developmental competence compared with manual denudation. Our robotic denudation system represents one step towards the automation and standardization of ICSI procedures.
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Affiliation(s)
- Rongan Zhai
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
| | - Guanqiao Shan
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada
| | - Changsheng Dai
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada
| | - Miao Hao
- School of Mechanical and Electrical Engineering, Research Center of Robotics and Micro Systems, Soochow University, Suzhou 215021, China
| | - Junhui Zhu
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
| | - Changhai Ru
- School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Yu Sun
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada
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4
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Bori L, Meseguer M. Will the introduction of automated ART laboratory systems render the majority of embryologists redundant? Reprod Biomed Online 2021; 43:979-981. [PMID: 34753681 DOI: 10.1016/j.rbmo.2021.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 09/28/2021] [Accepted: 10/04/2021] [Indexed: 11/16/2022]
Abstract
IVF techniques have changed over time with the aim of improving clinical results. Today, embryology is facing a change common to most areas of medicine, the introduction of automation. The use of automated systems in the IVF laboratory is already happening, for example, with electronic witnessing and the ranking of embryos according to their implantation potential. It is expected that in the near future, various systems in the IVF laboratory will be automated. In this way, gamete manipulation would cease to be manual and embryo culture and selection would be performed by means of microfluidics and artificial intelligence. Therefore, the tasks of the embryologist will inevitably be reduced. However, new functions related to data capture, management and analysis will emerge, along with other research skills and increased communication with other professionals and patients.
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Affiliation(s)
- Lorena Bori
- IVIRMA Valencia, Spain; IVI Foundation, Valencia, Spain
| | - Marcos Meseguer
- IVIRMA Valencia, Spain; IVI Foundation, Valencia, Spain; Health Research Institute la Fe, Valencia, Spain.
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In vitro fertilization and andrology laboratory in 2030: expert visions. Fertil Steril 2021; 116:4-12. [PMID: 34148588 DOI: 10.1016/j.fertnstert.2021.05.088] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 05/12/2021] [Indexed: 11/23/2022]
Abstract
The aim of this article is to gather 9 thought leaders and their team members to present their ideas about the future of in vitro fertilization and the andrology laboratory. Although we have seen much progress and innovation in the laboratory over the years, there is still much to come, and this article looks at what these leaders think will be important in the future development of technology and processes in the laboratory.
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Deng J, Liu Y, Li K, Zhang S. Design, Modeling, and Experimental Evaluation of a Compact Piezoelectric XY Platform for Large Travel Range. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2020; 67:863-872. [PMID: 31689190 DOI: 10.1109/tuffc.2019.2951158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
A novel piezoelectric XY platform driven by a single actuator was presented for a large travel range and compact structure. The actuator operated at the inertial mechanism and moved the output platform step-by-step. A dynamic model of the piezoelectric actuator was established based on the Timoshenko beam theory and Galerkin procedure, which was used to aid the structure design. The dynamic model of the platform system was established based on the dynamic model of the actuator and the LuGre friction model. A prototype was fabricated and its experimental system was established; the total size was 100 × 100 × 93.5 mm3 and the travel range was 15 × 15 mm2. The measured stepper motions agreed well with the simulation results, and the correctness of the dynamic model was confirmed. The proposed platform achieved maximum speeds of 2.13 and 3.11 mm/s along the axes X and Y , respectively, and a carrying capacity of 20 kg was achieved. Furthermore, the closed-loop control experiments, including the positioning resolution and the sinusoidal trajectory tracking, were carried out, and a positioning resolution better than [Formula: see text] and a tracking error rate of 4% were achieved, which revealed the potential of the proposed piezoelectric platform in field of manipulating heavy objects with submicrometer accuracy and large travel range, especially for some specific fields including microparticle manipulation, ultraprecision manufacturing, and optical device posture adjustment where large travel range, high accuracy, and multidimension are expected.
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Zhang Z, Dai C, Wang X, Ru C, Abdalla K, Jahangiri S, Librach C, Jarvi K, Sun Y. Automated Laser Ablation of Motile Sperm for Immobilization. IEEE Robot Autom Lett 2019. [DOI: 10.1109/lra.2018.2890445] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Zhang Z, Dai C, Huang J, Wang X, Liu J, Ru C, Pu H, Xie S, Zhang J, Moskovtsev S, Librach C, Jarvi K, Sun Y. Robotic Immobilization of Motile Sperm for Clinical Intracytoplasmic Sperm Injection. IEEE Trans Biomed Eng 2018; 66:444-452. [PMID: 29993453 DOI: 10.1109/tbme.2018.2848972] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE In clinical intracytoplasmic sperm injection (ICSI), a motile sperm must be immobilized before insertion into an oocyte. This paper aims to develop a robotic system for automated tracking, orientation control, and immobilization of motile sperms for clinical ICSI applications. METHODS We adapt the probabilistic data association filter by adding sperm head orientation into state variables for robustly tracking the sperm head and estimating sperm tail positions under interfering conditions. The robotic system also utilizes a motorized rotational microscopy stage and a new visual servo control strategy that predicts and compensates for sperm movements to actively adjust sperm orientation for immobilizing a sperm swimming in any direction. RESULTS The system robustly tracked sperm head with a tracking success rate of 96.0% and estimated sperm tail position with an accuracy of 1.08 μm under clinical conditions where the occlusion of the target sperm and interference from other sperms occur. Experimental results from robotic immobilization of 400 sperms confirmed that the system achieved a consistent immobilization success rate of 94.5%, independent of sperm velocity or swimming direction. CONCLUSION Our adapted tracking algorithm effectively distinguishes the target sperm from interfering sperms. Predicting and compensating for sperm movements significantly reduce the positioning error during sperm orientation control. These features make the robotic system suitable for automated sperm immobilization. SIGNIFICANCE The robotic system eliminates stringent skill requirements in manual sperm immobilization. It is capable of manipulating sperms swimming in an arbitrary direction with a high success rate.
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9
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Aparicio-Ruiz B, Romany L, Meseguer M. Selection of preimplantation embryos using time-lapse microscopy in in vitro fertilization: State of the technology and future directions. Birth Defects Res 2018; 110:648-653. [DOI: 10.1002/bdr2.1226] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 02/27/2018] [Indexed: 11/06/2022]
Affiliation(s)
| | - Laura Romany
- Instituto Valenciano de Infertilidad (IVI) Valencia; Valencia Spain
| | - Marcos Meseguer
- Instituto Valenciano de Infertilidad (IVI) Valencia; Valencia Spain
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10
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Young AN, Moyle-Heyrman G, Kim JJ, Burdette JE. Microphysiologic systems in female reproductive biology. Exp Biol Med (Maywood) 2017; 242:1690-1700. [PMID: 29065798 PMCID: PMC5786365 DOI: 10.1177/1535370217697386] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Microphysiologic systems (MPS), including new organ-on-a-chip technologies, recapitulate tissue microenvironments by employing specially designed tissue or cell culturing techniques and microfluidic flow. Such systems are designed to incorporate physiologic factors that conventional 2D or even 3D systems cannot, such as the multicellular dynamics of a tissue-tissue interface or physical forces like fluid sheer stress. The female reproductive system is a series of interconnected organs that are necessary to produce eggs, support embryo development and female health, and impact the functioning of non-reproductive tissues throughout the body. Despite its importance, the human reproductive tract has received less attention than other organ systems, such as the liver and kidney, in terms of modeling with MPS. In this review, we discuss current gaps in the field and areas for technological advancement through the application of MPS. We explore current MPS research in female reproductive biology, including fertilization, pregnancy, and female reproductive tract diseases, with a focus on their clinical applications. Impact statement This review discusses existing microphysiologic systems technology that may be applied to study of the female reproductive tract, and those currently in development to specifically investigate gametes, fertilization, embryo development, pregnancy, and diseases of the female reproductive tract. We focus on the clinical applicability of these new technologies in fields such as assisted reproductive technologies, drug testing, disease diagnostics, and personalized medicine.
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Affiliation(s)
| | - Georgette Moyle-Heyrman
- College of Science & Technology, University of Wisconsin – Green Bay, Green Bay, WI 54311, USA
| | - J Julie Kim
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
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11
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Zhang Z, Liu J, Meriano J, Ru C, Xie S, Luo J, Sun Y. Human sperm rheotaxis: a passive physical process. Sci Rep 2016; 6:23553. [PMID: 27005727 PMCID: PMC4804285 DOI: 10.1038/srep23553] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 03/02/2016] [Indexed: 12/14/2022] Open
Abstract
A long-standing question in natural reproduction is how mammalian sperm navigate inside female reproductive tract and finally reach the egg cell, or oocyte. Recently, fluid flow was proposed as a long–range guidance cue for sperm navigation. Coitus induces fluid flow from oviduct to uterus, and sperm align themselves against the flow direction and swim upstream, a phenomenon termed rheotaxis. Whether sperm rheotaxis is a passive process dominated by fluid mechanics, or sperm actively sense and adapt to fluid flow remains controversial. Here we report the first quantitative study of sperm flagellar motion during human sperm rheotaxis and provide direct evidence indicating that sperm rheotaxis is a passive process. Experimental results show that there is no significant difference in flagellar beating amplitude and asymmetry between rheotaxis-turning sperm and those sperm swimming freely in the absence of fluid flow. Additionally, fluorescence image tracking shows no Ca2+ influx during sperm rheotaxis turning, further suggesting there is no active signal transduction during human sperm rheotaxis.
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Affiliation(s)
- Zhuoran Zhang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Jun Liu
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Jim Meriano
- LifeQuest Centre for Reproductive Medicine, Toronto, ON, Canada
| | - Changhai Ru
- Jiangsu Provincial Key Laboratory of Advanced Robotics &Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, China
| | - Shaorong Xie
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.,Department of Mechatronic Engineering, Shanghai University, China
| | - Jun Luo
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.,Department of Mechatronic Engineering, Shanghai University, China
| | - Yu Sun
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
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12
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Chen D, Sun M, Zhao X. Oocytes Polar Body Detection for Automatic Enucleation. MICROMACHINES 2016; 7:E27. [PMID: 30407400 PMCID: PMC6190001 DOI: 10.3390/mi7020027] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 01/30/2016] [Accepted: 02/04/2016] [Indexed: 11/17/2022]
Abstract
Enucleation is a crucial step in cloning. In order to achieve automatic blind enucleation, we should detect the polar body of the oocyte automatically. The conventional polar body detection approaches have low success rate or low efficiency. We propose a polar body detection method based on machine learning in this paper. On one hand, the improved Histogram of Oriented Gradient (HOG) algorithm is employed to extract features of polar body images, which will increase success rate. On the other hand, a position prediction method is put forward to narrow the search range of polar body, which will improve efficiency. Experiment results show that the success rate is 96% for various types of polar bodies. Furthermore, the method is applied to an enucleation experiment and improves the degree of automatic enucleation.
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Affiliation(s)
- Di Chen
- Institute of Robotics and Automatic Information System (IRAIS), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300000, China.
- Tianjin Key Laboratory of Intelligent Robotics (TJKLIR), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300000, China.
| | - Mingzhu Sun
- Institute of Robotics and Automatic Information System (IRAIS), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300000, China.
- Tianjin Key Laboratory of Intelligent Robotics (TJKLIR), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300000, China.
| | - Xin Zhao
- Institute of Robotics and Automatic Information System (IRAIS), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300000, China.
- Tianjin Key Laboratory of Intelligent Robotics (TJKLIR), Nankai University, No. 94 Weijin Road, Nankai District, Tianjin 300000, China.
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Oocyte insemination techniques are related to alterations of embryo developmental timing in an oocyte donation model. Reprod Biomed Online 2013; 27:367-75. [DOI: 10.1016/j.rbmo.2013.06.017] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Revised: 06/21/2013] [Accepted: 06/25/2013] [Indexed: 11/18/2022]
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14
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Liu J, Leung C, Lu Z, Sun Y. Quantitative Analysis of Locomotive Behavior of Human Sperm Head and Tail. IEEE Trans Biomed Eng 2013. [DOI: 10.1109/tbme.2012.2227319] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Cohen J, Alikani M, Bisignano A. Past performance of assisted reproduction technologies as a model to predict future progress: a proposed addendum to Moore's law. Reprod Biomed Online 2012; 25:585-90. [PMID: 23063811 DOI: 10.1016/j.rbmo.2012.08.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2012] [Revised: 07/31/2012] [Accepted: 08/29/2012] [Indexed: 10/27/2022]
Abstract
The ultimate goal of IVF is to achieve healthy, single, live births following each single-embryo transfer. A timeline for this eventuality has never been defined. National implantation rates from 2003-2010 provided by the Society for Assisted Reproductive Technologies (SART) in the USA were evaluated. Regression analysis was applied to the annual trends. A high correlation was noted showing a linear increase from year to year ranging between 0.3% and 1.5% when maternal age was not higher than 42. This relationship can be retrospectively applied to earlier SART data reports. This incline may be partly technology driven and resembles Moore's law, which describes annual improvements in microchip performance. Based on the assumption that technology will continue to drive progress, the length of time required to reach 100% implantation was calculated. The interval varied between 43 years (AD 2053) for the youngest age group (<35 years old) and 294 years for the 41-42-year age group. The timeframe is shifted for the younger patients to an earlier date of 2027 if a subset of clinics with high implantation regression slopes and low variance is selected. The implications of these findings for infertility treatment and fertility preservation are discussed. Success after IVF has steadily improved. Data from US-based clinics are annually collected by the Society for Assisted Reproductive Technologies (SART; www.sart.org). Through SART, individual clinic's outcomes may be assessed. Although live birth and pregnancy are considered the gold standard of success, the investigators took the approach that those outcomes are often biased due to transfer of multiple embryos. The present analysis was therefore performed on individual embryos, by using the implantation rate to compare national and individual clinic datasets. National implantation rates show a linear increase from year to year ranging between 0.3% and 1.5% for patients aged <43 years. We postulate that this linear trend can be traced back to 1985 even though statistical analysis could only be applied to the implantation data from 2003-2010. We expect that this annual incline is partly technology driven. This is an intriguing effect also seen in the computer industry where there has been a doubling of computer speed and memory for the past 47 years, a phenomenon anticipated by Moore's law. We predict that the annual increase in implantation will also continue as new technologies become available. Based on current trends, the length of time for 100% implantation rates was calculated. Time to achieving 100% implantation varied between 43 years (AD 2053) for the youngest age group (<35 years old) to 294 years for women 41-42 years old. Some clinics may report a perfect success earlier than others. However, implantation does not guarantee birth.
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Meseguer M, Kruhne U, Laursen S. Full in vitro fertilization laboratory mechanization: toward robotic assisted reproduction? Fertil Steril 2012; 97:1277-86. [PMID: 22480821 DOI: 10.1016/j.fertnstert.2012.03.013] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2011] [Revised: 03/10/2012] [Accepted: 03/12/2012] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To describe the current efforts made to standardize different steps of assisted reproductive technology processes by the introduction of new technologies for the nonsubjective sperm selection process, oocyte denudation by mechanical removal of cumulus cells, oocyte positioning, sperm motility screening, fertilization, embryo culture, media replacement by microfluidics, and monitoring of embryo development by time-lapse photography, embryo secretions, and/or O(2) consumption. These technologies could be integrated in a unique and fully automated device. DESIGN Pubmed database and research and development data from authors. SETTING University-affiliated private center. PATIENT(S) None. INTERVENTION(S) None. MAIN OUTCOME MEASUREMENT(S) None. RESULT(S) Several technologies would be useful for: 1) selection of sperm based on viability; 2) manipulation and removal of the cumulus cells' narrow channel regions combined with microfluidics; 3) advances in oocyte positioning precision through the use of joystick-controlled micromanipulators; 4) microfluidics allowing the gradual change of a culture medium, which might result in better embryo development as well as reduce the amount of embryo manipulation; 5) time-lapse, proteomic, and metabolic scoring of the developing embryo, allowing multiple and optimized selection of the embryos. The technologies described in this review have not yet reported reliable clinical proofs. CONCLUSION(S) We already have available some of the technologies described, but we envisage an integrated device, i.e., an IVF lab-on-a-chip, by which oocyte and sperm would be processed to achieve a perfect embryo ready to be delivered into the uterus. With such a device, sample preparation, chemical or biologic reactions, and data collection would be integrated.
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Affiliation(s)
- Marcos Meseguer
- Instituto Valenciano de Infertilidad, Universidad de Valencia, Valencia, Spain
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18
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Xu Ping Zhang, Leung C, Zhe Lu, Esfandiari N, Casper RF, Yu Sun. Controlled Aspiration and Positioning of Biological Cells in a Micropipette. IEEE Trans Biomed Eng 2012; 59:1032-40. [DOI: 10.1109/tbme.2012.2182673] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Abstract
Research and clinical applications, such as microinjection and polar-body biopsy involve 3-D rotation of mammalian oocytes/embryos. In these cell manipulation tasks, the polar body of an embryo/oocyte must be made visible and properly oriented under optical microscopy. Cell rotation in conventional manual operation by skilled professionals is based on trial and error, such as through repeated vacuum aspiration and release. The randomness of this manual procedure, its poor reproducibility, and inconsistency across operators entail a systematic technique for automated, noninvasive, 3-D rotational control of single cells. This paper reports a system that tracks the polar body of mouse embryos in real time and controls multiple motion control devices to conduct automated 3-D rotational control of mouse embryos. Experimental results demonstrated the system's capability for polar-body orientation with a high success rate of 90%, an accuracy of 1.9 °, and an average speed of 22.8 s/cell (versus averagely 40 s/cell in manual operation).
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Affiliation(s)
- Clement Leung
- Advanced Micro and Nanosystems Laboratory, University of Toronto, Toronto, ON, Canada.
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