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      Detection of ovulation, a review of currently available methods

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          Abstract

          The ability to identify the precise time of ovulation is important for women who want to plan conception or practice contraception. Here, we review the current literature on various methods for detecting ovulation including a review of point‐of‐care device technology. We incorporate an examination of methods to detect ovulation that have been developed and practiced for decades and analyze the indications and limitations of each—transvaginal ultrasonography, urinary luteinizing hormone detection, serum progesterone and urinary pregnanediol 3‐glucuronide detection, urinary follicular stimulating hormone detection, basal body temperature monitoring, and cervical mucus and salivary ferning analysis. Some point‐of‐care ovulation detection devices have been developed and commercialized based on these methods, however previous research was limited by small sample size and an inconsistent standard reference to true ovulation.

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          Paper-based ELISA.

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            Hormonal dynamics at midcycle: a reevaluation.

            The dynamics of ovarian and pituitary hormone changes during the midcycle period were evaluated. Changes in hormone levels were determined at 2-h intervals for 5 consecutive days during the periovulatory phase of the cycle in five women. During the 50 h preceding the onset of the surge, the rates of increments for estradiol (E2), progesterone (P4), and LH were similar, with doubling times of 57-61 h. The onset of LH and FSH surges was found to occur abruptly (LH doubled within 2 h). They were temporally associated with the attainment of peak E2 levels and occurred 12 h after the initiation of a rapid rise of P4. The mean duration of the surge was 48 h, with a rapidly ascending limb (doubling time, 5.2 h) lasting 14 h accompanied by a rapid decline of E2 and a continued rise of P4. The surge was followed by a peak plateau of gonadotropin levels lasting for 14 h and a transient leveling of P4. The longer descending limb (half-time, 9.6 h), lasting for 20 h, was associated with a second rapid rise of P4, beginning 36 h after surge onset or 12 h before termination of the surge. By using the onset of the LH surge as a reference point, our data provide a relatively precise picture of the hormonal changes preceding the onset of the gonadotropin surge and the temporal relationship between the multiphasic P4 rise and pituitary-ovarian function.
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              Multizone Paper Platform for 3D Cell Cultures

              In vitro 3D culture is an important model for tissues in vivo. Cells in different locations of 3D tissues are physiologically different, because they are exposed to different concentrations of oxygen, nutrients, and signaling molecules, and to other environmental factors (temperature, mechanical stress, etc). The majority of high-throughput assays based on 3D cultures, however, can only detect the average behavior of cells in the whole 3D construct. Isolation of cells from specific regions of 3D cultures is possible, but relies on low-throughput techniques such as tissue sectioning and micromanipulation. Based on a procedure reported previously (“cells-in-gels-in-paper” or CiGiP), this paper describes a simple method for culture of arrays of thin planar sections of tissues, either alone or stacked to create more complex 3D tissue structures. This procedure starts with sheets of paper patterned with hydrophobic regions that form 96 hydrophilic zones. Serial spotting of cells suspended in extracellular matrix (ECM) gel onto the patterned paper creates an array of 200 micron-thick slabs of ECM gel (supported mechanically by cellulose fibers) containing cells. Stacking the sheets with zones aligned on top of one another assembles 96 3D multilayer constructs. De-stacking the layers of the 3D culture, by peeling apart the sheets of paper, “sections” all 96 cultures at once. It is, thus, simple to isolate 200-micron-thick cell-containing slabs from each 3D culture in the 96-zone array. Because the 3D cultures are assembled from multiple layers, the number of cells plated initially in each layer determines the spatial distribution of cells in the stacked 3D cultures. This capability made it possible to compare the growth of 3D tumor models of different spatial composition, and to examine the migration of cells in these structures.
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                Author and article information

                Contributors
                tinchang@cgmh.org.tw , tinchang.chang@gmail.com
                chaomin@mx.nthu.edu.tw
                Journal
                Bioeng Transl Med
                Bioeng Transl Med
                10.1002/(ISSN)2380-6761
                BTM2
                Bioengineering & Translational Medicine
                John Wiley and Sons Inc. (Hoboken )
                2380-6761
                16 May 2017
                September 2017
                : 2
                : 3 ( doiID: 10.1002/btm2.v2.3 )
                : 238-246
                Affiliations
                [ 1 ] Dept. of Obstetrics, Gynecology & Women's Health Taichung Veterans General Hospital Taichung Taiwan
                [ 2 ] Interdisciplinary Program of Life Science National Tsing Hua University Hsinchu Taiwan
                [ 3 ] Div. of Gynecologic Oncology, Dept. of Obstetrics and Gynecology Chang Gung Memorial Hospital and Chang Gung University and Gynecologic Cancer Research Center, Chang Gung Memorial Hospital Taoyuan Taiwan
                [ 4 ] Institute of Biomedical Engineering, National Tsing Hua University Hsinchu Taiwan
                Author notes
                [*] [* ] Correspondence

                Ting‐Chang Chang, Dept. of Obstetrics and Gynecology, Chang Gung Memorial Hospital and Chang Gung University, 5 Fu‐Shin Street, Kueishan, Taoyuan 333, Taiwan (R.O.C.). Email: tinchang@ 123456cgmh.org.tw ; tinchang.chang@ 123456gmail.com .

                or

                Chao‐Min Cheng, No. 101, Sec. 2, Guangfu Rd., East Dist., Hsinchu 300, Taiwan (R.O.C.). Email: chaomin@ 123456mx.nthu.edu.tw .

                [†]

                These authors contributed equally.

                Author information
                http://orcid.org/0000-0002-1510-8183
                Article
                BTM210058
                10.1002/btm2.10058
                5689497
                29313033
                6b9ebacc-d6eb-4658-94f0-da639e43134b
                © 2017 The Authors. Bioengineering & Translational Medicine is published by Wiley Periodicals, Inc. on behalf of The American Institute of Chemical Engineers

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 December 2016
                : 06 February 2017
                : 14 February 2017
                Page count
                Figures: 3, Tables: 1, Pages: 9, Words: 6813
                Funding
                Funded by: Taiwan's Ministry of Science and Technology
                Award ID: MOST 104‐2628‐E‐007‐001‐MY3 & MOST 105‐2221‐E‐007‐053‐MY3
                Funded by: Chang Gung Memorial Hospital
                Award ID: CMRPG3D0691
                Categories
                Review
                Reviews
                Custom metadata
                2.0
                btm210058
                September 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.5 mode:remove_FC converted:16.11.2017

                family planning,fertility window,ovulation detection

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