1
|
Chow DJX, Tan TCY, Upadhya A, Lim M, Dholakia K, Dunning KR. Viewing early life without labels: optical approaches for imaging the early embryo†. Biol Reprod 2024; 110:1157-1174. [PMID: 38647415 PMCID: PMC11180623 DOI: 10.1093/biolre/ioae062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 03/26/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
Embryo quality is an important determinant of successful implantation and a resultant live birth. Current clinical approaches for evaluating embryo quality rely on subjective morphology assessments or an invasive biopsy for genetic testing. However, both approaches can be inherently inaccurate and crucially, fail to improve the live birth rate following the transfer of in vitro produced embryos. Optical imaging offers a potential non-invasive and accurate avenue for assessing embryo viability. Recent advances in various label-free optical imaging approaches have garnered increased interest in the field of reproductive biology due to their ability to rapidly capture images at high resolution, delivering both morphological and molecular information. This burgeoning field holds immense potential for further development, with profound implications for clinical translation. Here, our review aims to: (1) describe the principles of various imaging systems, distinguishing between approaches that capture morphological and molecular information, (2) highlight the recent application of these technologies in the field of reproductive biology, and (3) assess their respective merits and limitations concerning the capacity to evaluate embryo quality. Additionally, the review summarizes challenges in the translation of optical imaging systems into routine clinical practice, providing recommendations for their future development. Finally, we identify suitable imaging approaches for interrogating the mechanisms underpinning successful embryo development.
Collapse
Affiliation(s)
- Darren J X Chow
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
| | - Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
| | - Avinash Upadhya
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
| | - Megan Lim
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
| | - Kishan Dholakia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
- Scottish Universities Physics Alliance, School of Physics and Astronomy, University of St Andrews, St Andrews, United Kingdom
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
| |
Collapse
|
2
|
Pasquariello R, Bogliolo L, Di Filippo F, Leoni GG, Nieddu S, Podda A, Brevini TAL, Gandolfi F. Use of assisted reproductive technologies (ARTs) to shorten the generational interval in ruminants: current status and perspectives. Theriogenology 2024; 225:16-32. [PMID: 38788626 DOI: 10.1016/j.theriogenology.2024.05.026] [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: 03/05/2024] [Revised: 05/18/2024] [Accepted: 05/18/2024] [Indexed: 05/26/2024]
Abstract
The challenges posed by climate change and increasing world population are stimulating renewed efforts for improving the sustainability of animal production. To meet such challenges, the contribution of genomic selection approaches, in combination with assisted reproductive technologies (ARTs), to spreading and preserving animal genetics is essential. The largest increase in genetic gain can be achieved by shortening the generation interval. This review provides an overview of the current status and progress of advanced ARTs that could be applied to reduce the generation time in both female and male of domestic ruminants. In females, the use of juvenile in vitro embryo transfer (JIVET) enables to generate offspring after the transfer of in vitro produced embryos derived from oocytes of prepubertal genetically superior donors reducing the generational interval and acceleration genetic gain. The current challenge is increasing in vitro embryo production (IVEP) from prepubertal derived oocytes which is still low and variable. The two main factors limiting IVEP success are the intrinsic quality of prepubertal oocytes and the culture systems for in vitro maturation (IVM). In males, advancements in ARTs are providing new strategies to in vitro propagate spermatogonia and differentiate them into mature sperm or even to recapitulate the whole process of spermatogenesis from embryonic stem cells. Moreover, the successful use of immature cells, such as round spermatids, for intracytoplasmic injection (ROSI) and IVEP could allow to complete the entire process in few months. However, these approaches have been successfully applied to human and mouse whereas only a few studies have been published in ruminants and results are still controversial. This is also dependent on the efficiency of ROSI that is limited by the current isolation and selection protocols of round spermatids. In conclusion, the current efforts for improving these reproductive methodologies could lead toward a significant reduction of the generational interval in livestock animals that could have a considerable impact on agriculture sustainability.
Collapse
Affiliation(s)
- Rolando Pasquariello
- Department of Agricultural and Environmental Sciences, University of Milan, Milano, Italy
| | - Luisa Bogliolo
- Department of Veterinary Medicine, University of Sassari, Sassari, Italy
| | - Francesca Di Filippo
- Department of Agricultural and Environmental Sciences, University of Milan, Milano, Italy
| | | | - Stefano Nieddu
- Department of Veterinary Medicine, University of Sassari, Sassari, Italy
| | - Andrea Podda
- Department of Veterinary Medicine, University of Sassari, Sassari, Italy
| | - Tiziana A L Brevini
- Laboratory of Biomedical Embryology and Tissue Engineering, Department of Veterinary Medicine and Animal Science, University of Milan, Lodi, Italy
| | - Fulvio Gandolfi
- Department of Agricultural and Environmental Sciences, University of Milan, Milano, Italy.
| |
Collapse
|
3
|
Liu S, Zou W, Sha H, Feng X, Chen B, Zhang J, Han S, Li X, Zhang Y. Deep learning-enhanced snapshot hyperspectral confocal microscopy imaging system. OPTICS EXPRESS 2024; 32:13918-13931. [PMID: 38859350 DOI: 10.1364/oe.519045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 03/17/2024] [Indexed: 06/12/2024]
Abstract
Laser-scanning confocal hyperspectral microscopy is a powerful technique to identify the different sample constituents and their spatial distribution in three-dimensional (3D). However, it suffers from low imaging speed because of the mechanical scanning methods. To overcome this challenge, we propose a snapshot hyperspectral confocal microscopy imaging system (SHCMS). It combined coded illumination microscopy based on a digital micromirror device (DMD) with a snapshot hyperspectral confocal neural network (SHCNet) to realize single-shot confocal hyperspectral imaging. With SHCMS, high-contrast 160-bands confocal hyperspectral images of potato tuber autofluorescence can be collected by only single-shot, which is almost 5 times improvement in the number of spectral channels than previously reported methods. Moreover, our approach can efficiently record hyperspectral volumetric imaging due to the optical sectioning capability. This fast high-resolution hyperspectral imaging method may pave the way for real-time highly multiplexed biological imaging.
Collapse
|
4
|
Sakkas D, Gulliford C, Ardestani G, Ocali O, Martins M, Talasila N, Shah JS, Penzias AS, Seidler EA, Sanchez T. Metabolic imaging of human embryos is predictive of ploidy status but is not associated with clinical pregnancy outcomes: a pilot trial. Hum Reprod 2024; 39:516-525. [PMID: 38195766 DOI: 10.1093/humrep/dead268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 11/28/2023] [Indexed: 01/11/2024] Open
Abstract
STUDY QUESTION Does fluorescence lifetime imaging microscopy (FLIM)-based metabolic imaging assessment of human blastocysts prior to frozen transfer correlate with pregnancy outcomes? SUMMARY ANSWER FLIM failed to distinguish consistent patterns in mitochondrial metabolism between blastocysts leading to pregnancy compared to those that did not. WHAT IS KNOWN ALREADY FLIM measurements provide quantitative information on NAD(P)H and flavin adenine dinucleotide (FAD+) concentrations. The metabolism of embryos has long been linked to their viability, suggesting the potential utility of metabolic measurements to aid in selection. STUDY DESIGN, SIZE, DURATION This was a pilot trial enrolling 121 IVF couples who consented to have their frozen blastocyst measured using non-invasive metabolic imaging. After being warmed, 105 couples' good-quality blastocysts underwent a 6-min scan in a controlled temperature and gas environment. FLIM-assessed blastocysts were then transferred without any intervention in management. PARTICIPANTS/MATERIALS, SETTING, METHODS Eight metabolic parameters were obtained from each blastocyst (4 for NAD(P)H and 4 for FAD): short and long fluorescence lifetime, fluorescence intensity, and fraction of the molecule engaged with enzyme. The redox ratio (intensity of NAD(P)H)/(intensity of FAD) was also calculated. FLIM data were combined with known metadata and analyzed to quantify the ability of metabolic imaging to differentiate embryos that resulted in pregnancy from embryos that did not. De-identified discarded aneuploid human embryos (n = 158) were also measured to quantify correlations with ploidy status and other factors. Statistical comparisons were performed using logistic regression and receiver operating characteristic (ROC) curves with 5-fold cross-validation averaged over 100 repeats with random sampling. AUC values were used to quantify the ability to distinguish between classes. MAIN RESULTS AND THE ROLE OF CHANCE No metabolic imaging parameters showed significant differences between good-quality blastocysts resulting in pregnancy versus those that did not. A logistic regression using metabolic data and metadata produced an ROC AUC of 0.58. In contrast, robust AUCs were obtained when classifying other factors such as comparison of Day 5 (n = 64) versus Day 6 (n = 41) blastocysts (AUC = 0.78), inner cell mass versus trophectoderm (n = 105: AUC = 0.88) and aneuploid (n = 158) versus euploid and positive pregnancy embryos (n = 108) (AUC = 0.82). LIMITATIONS, REASONS FOR CAUTION The study protocol did not select which embryo to transfer and the cohort of 105 included blastocysts were all high quality. The study was also limited in number of participants and study sites. Increased power and performing the trial in more sites may have provided a stronger conclusion regarding the merits of the use of FLIM clinically. WIDER IMPLICATIONS OF THE FINDINGS FLIM failed to distinguish consistent patterns in mitochondrial metabolism between good-quality blastocysts leading to pregnancy compared to those that did not. Blastocyst ploidy status was, however, highly distinguishable. In addition, embryo regions and embryo day were consistently revealed by FLIM. While metabolic imaging detects mitochondrial metabolic features in human blastocysts, this pilot trial indicates it does not have the potential to serve as an effective embryo viability detection tool. This may be because mitochondrial metabolism plays an alternative role post-implantation. STUDY FUNDING/COMPETING INTEREST(S) This study was sponsored by Optiva Fertility, Inc. Boston IVF contributed to the clinical site and services. Becker Hickl, GmbH, provided the FLIM system on loan. T.S. was the founder and held stock in Optiva Fertility, Inc., and D.S. and E.S. had options with Optiva Fertility, Inc., during this study. TRIAL REGISTRATION NUMBER The study was approved by WCG Connexus IRB (Study Number 1298156).
Collapse
Affiliation(s)
- Denny Sakkas
- Boston IVF, Research Department, Waltham, MA, USA
| | | | | | - Olcay Ocali
- Boston IVF, Research Department, Waltham, MA, USA
| | | | | | - Jaimin S Shah
- Boston IVF, Research Department, Waltham, MA, USA
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
| | - Alan S Penzias
- Boston IVF, Research Department, Waltham, MA, USA
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
| | - Emily A Seidler
- Boston IVF, Research Department, Waltham, MA, USA
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
| | | |
Collapse
|
5
|
Serbetci I, González-Grajales LA, Herrera C, Ibanescu I, Tekin M, Melean M, Magata F, Malama E, Bollwein H, Scarlet D. Impact of negative energy balance and postpartum diseases during the transition period on oocyte quality and embryonic development in dairy cows. Front Vet Sci 2024; 10:1328700. [PMID: 38249554 PMCID: PMC10797029 DOI: 10.3389/fvets.2023.1328700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/18/2023] [Indexed: 01/23/2024] Open
Abstract
Transition period is a critical time for dairy cows because a large proportion of clinical and subclinical diseases are observed in the first month after parturition. Occurrence of negative energy balance is associated with depressed immunity and these conditions can affect oocyte quality and further embryonic development. The aim of this study was to assess the effects of negative energy balance-associated disorders on in vitro embryo production (IVP) in dairy cattle. We hypothesized that subclinical metabolic and/or inflammatory disorders have a negative effect on oocyte developmental competence and morphokinetic parameters of the resulting embryos. The study was conducted on 30 lactating Holstein-Friesian cows which were assigned into four groups: healthy (HEAL, n = 6), metabolic disease (META, n = 8), inflammatory disease (INFL, n = 8), or combined metabolic and inflammatory disease (COMB, n = 8). Ovum pick-up (OPU) was performed twice weekly on all cows over a period of four weeks (n = 8 OPU sessions/cow) starting on the fifth week postpartum, and the collected oocytes were subjected to routine IVP. Donor's health status did not affect the number of oocytes/OPU or the recovery rate (p > 0.05). The number of quality 1 oocytes collected from INFL and COMB cows was lower compared to HEAL cows (p < 0.05). Also, the percentage of quality 1 embryos was reduced in META and COMB compared to HEAL cows (p < 0.05). Cleavage, blastocyst and hatching rates were similar among groups (p > 0.05). Presence of disease did not affect the time required by zygotes to reach specific developmental stages, as recorded by means of time-lapse monitoring. Nevertheless, there was a higher probability of direct cleavage after IVF in oocytes of COMB cows compared to those of HEAL cows (p < 0.05). In conclusion, oocytes and embryos derived from dairy cows diagnosed with subclinical metabolic and/or inflammatory diseases during the transition period showed reduced quality but similar developmental potential and morphokinetics when compared to healthy cows. These results shed light on the consequences of subclinical disease on embryonic development in dairy cows which might be important for embryo transfer programs.
Collapse
Affiliation(s)
- Idil Serbetci
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | | | - Carolina Herrera
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Iulian Ibanescu
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Muhittin Tekin
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Manuel Melean
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Fumie Magata
- Department of Veterinary Medical Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
| | - Eleni Malama
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Heinrich Bollwein
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Dragos Scarlet
- Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
- Institute of Veterinary Anatomy, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| |
Collapse
|
6
|
Morizet J, Chow D, Wijesinghe P, Schartner E, Dwapanyin G, Dubost N, Bruce GD, Anckaert E, Dunning K, Dholakia K. UVA Hyperspectral Light-Sheet Microscopy for Volumetric Metabolic Imaging: Application to Preimplantation Embryo Development. ACS PHOTONICS 2023; 10:4177-4187. [PMID: 38145166 PMCID: PMC10739996 DOI: 10.1021/acsphotonics.3c00900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 12/26/2023]
Abstract
Cellular metabolism is a key regulator of energetics, cell growth, regeneration, and homeostasis. Spatially mapping the heterogeneity of cellular metabolic activity is of great importance for unraveling the overall cell and tissue health. In this regard, imaging the endogenous metabolic cofactors, nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) and flavin adenine dinucleotide (FAD), with subcellular resolution and in a noninvasive manner would be useful to determine tissue and cell viability in a clinical environment, but practical use is limited by current imaging techniques. In this paper, we demonstrate the use of phasor-based hyperspectral light-sheet (HS-LS) microscopy using a single UVA excitation wavelength as a route to mapping metabolism in three dimensions. We show that excitation solely at a UVA wavelength of 375 nm can simultaneously excite NAD(P)H and FAD autofluorescence, while their relative contributions can be readily quantified using a hardware-based spectral phasor analysis. We demonstrate the potential of our HS-LS system by capturing dynamic changes in metabolic activity during preimplantation embryo development. To validate our approach, we delineate metabolic changes during preimplantation embryo development from volumetric maps of metabolic activity. Importantly, our approach overcomes the need for multiple excitation wavelengths, two-photon imaging, or significant postprocessing of data, paving the way toward clinical translation, such as in situ, noninvasive assessment of embryo viability.
Collapse
Affiliation(s)
- Josephine Morizet
- SUPA,
School of Physics and Astronomy, University
of St Andrews, North Haugh, St Andrews Fife KY16, U.K.
| | - Darren Chow
- Robinson
Research Institute, School of Biomedicine, The University of Adelaide, Adelaide 5501, Australia
- Australian
Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide 5505, Australia
- Institute
for Photonics and Advanced Sensing, The
University of Adelaide, Adelaide 5505, Australia
| | - Philip Wijesinghe
- SUPA,
School of Physics and Astronomy, University
of St Andrews, North Haugh, St Andrews Fife KY16, U.K.
| | - Erik Schartner
- Robinson
Research Institute, School of Biomedicine, The University of Adelaide, Adelaide 5501, Australia
- Institute
for Photonics and Advanced Sensing, The
University of Adelaide, Adelaide 5505, Australia
- Centre
of Light for Life, The University of Adelaide, Adelaide 5005, Australia
| | - George Dwapanyin
- SUPA,
School of Physics and Astronomy, University
of St Andrews, North Haugh, St Andrews Fife KY16, U.K.
| | - Nicolas Dubost
- SUPA,
School of Physics and Astronomy, University
of St Andrews, North Haugh, St Andrews Fife KY16, U.K.
| | - Graham D. Bruce
- SUPA,
School of Physics and Astronomy, University
of St Andrews, North Haugh, St Andrews Fife KY16, U.K.
| | - Ellen Anckaert
- Faculty of
Medicine and Pharmacy, Vrije Universiteit
Brussel, Brussels 1070, Belgium
| | - Kylie Dunning
- Robinson
Research Institute, School of Biomedicine, The University of Adelaide, Adelaide 5501, Australia
- Australian
Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide 5505, Australia
- Institute
for Photonics and Advanced Sensing, The
University of Adelaide, Adelaide 5505, Australia
| | - Kishan Dholakia
- SUPA,
School of Physics and Astronomy, University
of St Andrews, North Haugh, St Andrews Fife KY16, U.K.
- Centre
of Light for Life, The University of Adelaide, Adelaide 5005, Australia
- School
of Biological Sciences, The University of
Adelaide, Adelaide 5005, Australia
| |
Collapse
|
7
|
Rabel RAC, Marchioretto PV, Bangert EA, Wilson K, Milner DJ, Wheeler MB. Pre-Implantation Bovine Embryo Evaluation-From Optics to Omics and Beyond. Animals (Basel) 2023; 13:2102. [PMID: 37443900 DOI: 10.3390/ani13132102] [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: 05/22/2023] [Revised: 06/16/2023] [Accepted: 06/17/2023] [Indexed: 07/15/2023] Open
Abstract
Approximately 80% of the ~1.5 million bovine embryos transferred in 2021 were in vitro produced. However, only ~27% of the transferred IVP embryos will result in live births. The ~73% pregnancy failures are partly due to transferring poor-quality embryos, a result of erroneous stereomicroscopy-based morphological evaluation, the current method of choice for pre-transfer embryo evaluation. Numerous microscopic (e.g., differential interference contrast, electron, fluorescent, time-lapse, and artificial-intelligence-based microscopy) and non-microscopic (e.g., genomics, transcriptomics, epigenomics, proteomics, metabolomics, and nuclear magnetic resonance) methodologies have been tested to find an embryo evaluation technique that is superior to morphologic evaluation. Many of these research tools can accurately determine embryo quality/viability; however, most are invasive, expensive, laborious, technically sophisticated, and/or time-consuming, making them futile in the context of in-field embryo evaluation. However accurate they may be, using complex methods, such as RNA sequencing, SNP chips, mass spectrometry, and multiphoton microscopy, at thousands of embryo production/collection facilities is impractical. Therefore, future research is warranted to innovate field-friendly, simple benchtop tests using findings already available, particularly from omics-based research methodologies. Time-lapse monitoring and artificial-intelligence-based automated image analysis also have the potential for accurate embryo evaluation; however, further research is warranted to innovate economically feasible options for in-field applications.
Collapse
Affiliation(s)
- R A Chanaka Rabel
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Paula V Marchioretto
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Elizabeth A Bangert
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Kenneth Wilson
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Derek J Milner
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Matthew B Wheeler
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Biomedical and Translational Sciences, Carle-Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| |
Collapse
|
8
|
Campbell JM, Mahbub SB, Habibalahi A, Agha A, Handley S, Anwer AG, Goldys EM. Clinical applications of non-invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology. JOURNAL OF BIOPHOTONICS 2023; 16:e202200264. [PMID: 36602432 DOI: 10.1002/jbio.202200264] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Hyperspectral and multispectral imaging of cell and tissue autofluorescence employs fluorescence imaging, without exogenous fluorophores, across multiple excitation/emission combinations (spectral channels). This produces an image stack where each pixel (matched by location) contains unique information about the sample's spectral properties. Analysis of this data enables access to a rich, molecularly specific data set from a broad range of cell-native fluorophores (autofluorophores) directly reflective of biochemical status, without use of fixation or stains. This non-invasive, non-destructive technology has great potential to spare the collection of biopsies from sensitive regions. As both staining and biopsy may be impossible, or undesirable, depending on the context, this technology great diagnostic potential for clinical decision making. The main research focus has been on the identification of neoplastic tissues. However, advances have been made in diverse applications-including ophthalmology, cardiovascular health, neurology, infection, assisted reproduction technology and organ transplantation.
Collapse
Affiliation(s)
- Jared M Campbell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Saabah B Mahbub
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Abbas Habibalahi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Adnan Agha
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Shannon Handley
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ayad G Anwer
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ewa M Goldys
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| |
Collapse
|
9
|
Tan TCY, Dunning KR. Non-invasive assessment of oocyte developmental competence. Reprod Fertil Dev 2022; 35:39-50. [PMID: 36592982 DOI: 10.1071/rd22217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Oocyte quality is a key factor influencing IVF success. The oocyte and surrounding cumulus cells, known collectively as the cumulus oocyte complex (COC), communicate bi-directionally and regulate each other's metabolic function to support oocyte growth and maturation. Many studies have attempted to associate metabolic markers with oocyte quality, including metabolites in follicular fluid or 'spent medium' following maturation, gene expression of cumulus cells and measuring oxygen consumption in medium surrounding COCs. However, these methods fail to provide spatial metabolic information on the separate oocyte and cumulus cell compartments. Optical imaging of the autofluorescent cofactors - reduced nicotinamide adenine dinucleotide (phosphate) [NAD(P)H] and flavin adenine dinucleotide (FAD) - has been put forward as an approach to generate spatially resolved measurements of metabolism within individual cells of the COC. The optical redox ratio (FAD/[NAD(P)H+FAD]), calculated from these cofactors, can act as an indicator of overall metabolic activity in the oocyte and cumulus cell compartments. Confocal microscopy, fluorescence lifetime imaging microscopy (FLIM) and hyperspectral microscopy may be used for this purpose. This review provides an overview of current optical imaging techniques that capture the inner biochemistry within cells of the COC and discusses the potential for such imaging to assess oocyte developmental competence.
Collapse
Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| |
Collapse
|
10
|
Yagoub SH, Lim M, Tan TCY, Chow DJX, Dholakia K, Gibson BC, Thompson JG, Dunning KR. Vitrification within a nanoliter volume: oocyte and embryo cryopreservation within a 3D photopolymerized device. J Assist Reprod Genet 2022; 39:1997-2014. [PMID: 35951146 PMCID: PMC9474789 DOI: 10.1007/s10815-022-02589-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Vitrification permits long-term banking of oocytes and embryos. It is a technically challenging procedure requiring direct handling and movement of cells between potentially cytotoxic cryoprotectant solutions. Variation in adherence to timing, and ability to trace cells during the procedure, affects survival post-warming. We hypothesized that minimizing direct handling will simplify the procedure and improve traceability. To address this, we present a novel photopolymerized device that houses the sample during vitrification. Methods The fabricated device consisted of two components: the Pod and Garage. Single mouse oocytes or embryos were housed in a Pod, with multiple Pods docked into a Garage. The suitability of the device for cryogenic application was assessed by repeated vitrification and warming cycles. Oocytes or early blastocyst-stage embryos were vitrified either using standard practice or within Pods and a Garage and compared to non-vitrified control groups. Post-warming, we assessed survival rate, oocyte developmental potential (fertilization and subsequent development) and metabolism (autofluorescence). Results Vitrification within the device occurred within ~ 3 nL of cryoprotectant: this volume being ~ 1000-fold lower than standard vitrification. Compared to standard practice, vitrification and warming within our device showed no differences in viability, developmental competency, or metabolism for oocytes and embryos. The device housed the sample during processing, which improved traceability and minimized handling. Interestingly, vitrification-warming itself, altered oocyte and embryo metabolism. Conclusion The Pod and Garage system minimized the volume of cryoprotectant at vitrification—by ~ 1000-fold—improved traceability and reduced direct handling of the sample. This is a major step in simplifying the procedure.
Supplementary information The online version contains supplementary material available at 10.1007/s10815-022-02589-8.
Collapse
Affiliation(s)
- Suliman H Yagoub
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Megan Lim
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Tiffany C Y Tan
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Darren J X Chow
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Kishan Dholakia
- School of Physics and Astronomy, University of St Andrews, North Haugh, Scotland, KY16 9SS.,School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.,Department of Physics, College of Science, Yonsei University, Seoul, 03722, South Korea
| | - Brant C Gibson
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Science, RMIT, Melbourne, VIC, 3001, Australia
| | - Jeremy G Thompson
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia.,Fertilis Pty Ltd, Adelaide, South Australia, 5005, Australia
| | - Kylie R Dunning
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia. .,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia. .,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia.
| |
Collapse
|
11
|
Tan TCY, Brown HM, Thompson JG, Mustafa S, Dunning KR. Optical imaging detects metabolic signatures associated with oocyte quality. Biol Reprod 2022; 107:1014-1025. [PMID: 35863764 PMCID: PMC9562116 DOI: 10.1093/biolre/ioac145] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 06/02/2022] [Accepted: 07/11/2022] [Indexed: 11/14/2022] Open
Abstract
Oocyte developmental potential is intimately linked to metabolism. Existing approaches to measure metabolism in the cumulus oocyte complex (COC) do not provide information on the separate cumulus and oocyte compartments. Development of an assay that achieves this may lead to an accurate diagnostic for oocyte quality. Optical imaging of the autofluorescent cofactors NAD(P)H and FAD provides a spatially resolved indicator of metabolism via the optical redox ratio ($\mathrm{FAD}/\left[\mathrm{NAD}\left(\mathrm{P}\right)\mathrm{H}+\mathrm{FAD}\right]$). This may provide an assessment of oocyte quality. Here, we determined whether the optical redox ratio is a robust methodology for measuring metabolism in the cumulus and oocyte compartments compared with oxygen consumption in the whole COC. We also determined whether optical imaging could detect metabolic differences associated with poor oocyte quality (etomoxir-treated). We used confocal microscopy to measure NAD(P)H and FAD, and extracellular flux to measure oxygen consumption. We found that the optical redox ratio was an accurate reflection of metabolism in the oocyte compartment when compared with oxygen consumption (whole COC). Etomoxir-treated COCs showed significantly lower levels of NAD(P)H and FAD compared to control. While confocal imaging demonstrated the premise, we validated this approach using hyperspectral imaging, which is clinically compatible due to its low energy dose. This confirmed lower NAD(P)H and FAD in etomoxir-treated COCs. When comparing imaged vs non-imaged COCs, subsequent preimplantation development and post-transfer viability were comparable. Collectively, these results demonstrate that label-free optical imaging of metabolic cofactors is a safe and sensitive assay for measuring metabolism and has potential to assess oocyte developmental competence.
Collapse
Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| | - Hannah M Brown
- Victorian Heart Institute, Monash University, Clayton, Victoria, Australia
| | - Jeremy G Thompson
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia.,Fertilis Pty Ltd, Adelaide, South Australia, 5005, Australia
| | - Sanam Mustafa
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| |
Collapse
|
12
|
de Oliveira LRM, de Aquino LVC, Santos MVDO, Freitas VJDF, Bertini LM, Pereira AF. Antioxidant effect of bioactive compounds isolated from Syzygium aromaticum essential oil on the in vitro developmental potential of bovine oocytes. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.104932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
13
|
Venturas M, Shah JS, Yang X, Sanchez TH, Conway W, Sakkas D, Needleman DJ. Metabolic state of human blastocysts measured by fluorescence lifetime imaging microscopy. Hum Reprod 2022; 37:411-427. [PMID: 34999823 DOI: 10.1093/humrep/deab283] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/27/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION Can non-invasive metabolic imaging via fluorescence lifetime imaging microscopy (FLIM) detect variations in metabolic profiles between discarded human blastocysts? SUMMARY ANSWER FLIM revealed extensive variations in the metabolic state of discarded human blastocysts associated with blastocyst development over 36 h, the day after fertilization and blastocyst developmental stage, as well as metabolic heterogeneity within individual blastocysts. WHAT IS KNOWN ALREADY Mammalian embryos undergo large changes in metabolism over the course of preimplantation development. Embryo metabolism has long been linked to embryo viability, suggesting its potential utility in ART to aid in selecting high quality embryos. However, the metabolism of human embryos remains poorly characterized due to a lack of non-invasive methods to measure their metabolic state. STUDY DESIGN, SIZE, DURATION We conducted a prospective observational study. We used 215 morphologically normal human embryos from 137 patients that were discarded and donated for research under an approved institutional review board protocol. These embryos were imaged using metabolic imaging via FLIM to measure the autofluorescence of two central coenzymes, nicotinamide adenine (phosphate) dinucleotide (NAD(P)H) and flavine adenine dinucleotide (FAD+), which are essential for cellular respiration and glycolysis. PARTICIPANTS/MATERIALS, SETTING, METHODS Here, we used non-invasive FLIM to measure the metabolic state of human blastocysts. We first studied spatial patterns in the metabolic state within human blastocysts and the association of the metabolic state of the whole blastocysts with stage of expansion, day of development since fertilization and morphology. We explored the sensitivity of this technique in detecting metabolic variations between blastocysts from the same patient and between patients. Next, we explored whether FLIM can quantitatively measure metabolic changes through human blastocyst expansion and hatching via time-lapse imaging. For all test conditions, the level of significance was set at P < 0.05 after correction for multiple comparisons using Benjamini-Hochberg's false discovery rate. MAIN RESULTS AND THE ROLE OF CHANCE We found that FLIM is sensitive enough to detect significant metabolic differences between blastocysts. We found that metabolic variations between blastocyst are partially explained by both the time since fertilization and their developmental expansion stage (P < 0.05), but not their morphological grade. Substantial metabolic variations between blastocysts from the same patients remain, even after controlling for these factors. We also observe significant metabolic heterogeneity within individual blastocysts, including between the inner cell mass and the trophectoderm, and between the portions of hatching blastocysts within and without the zona pellucida (P < 0.05). And finally, we observed that the metabolic state of human blastocysts continuously varies over time. LIMITATIONS, REASONS FOR CAUTION Although we observed significant variations in metabolic parameters, our data are taken from human blastocysts that were discarded and donated for research and we do not know their clinical outcome. Moreover, the embryos used in this study are a mixture of aneuploid, euploid and embryos of unknown ploidy. WIDER IMPLICATIONS OF THE FINDINGS This work reveals novel aspects of the metabolism of human blastocysts and suggests that FLIM is a promising approach to assess embryo viability through non-invasive, quantitative measurements of their metabolism. These results further demonstrate that FLIM can provide biologically relevant information that may be valuable for the assessment of embryo quality. STUDY FUNDING/COMPETING INTEREST(S) Supported by the Blavatnik Biomedical Accelerator Grant at Harvard University. Becker and Hickl GmbH and Boston Electronics sponsored research with the loaning of equipment for FLIM. D.J.N. is an inventor on patent US20170039415A1. TRIAL REGISTRATION NUMBER N/A.
Collapse
Affiliation(s)
- Marta Venturas
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.,Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Cerdanyola, Spain
| | - Jaimin S Shah
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.,Boston IVF, Waltham, MA, USA
| | - Xingbo Yang
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | | | - William Conway
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.,Physics Department, Harvard University, Cambridge, MA, USA
| | | | - Dan J Needleman
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.,Physics Department, Harvard University, Cambridge, MA, USA.,Center for Computational Biology, Flatiron Institute, New York, NY, USA
| |
Collapse
|
14
|
BIOMECHANICAL ASPECTS OF POSTURAL CONTROL OF THE HUMAN BODY. WORLD OF MEDICINE AND BIOLOGY 2022. [DOI: 10.26724/2079-8334-2022-4-82-181-186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
|
15
|
Tan TCY, Mahbub SB, Campbell JM, Habibalahi A, Campugan CA, Rose RD, Chow DJX, Mustafa S, Goldys EM, Dunning KR. Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo. Hum Reprod 2021; 37:14-29. [PMID: 34741175 DOI: 10.1093/humrep/deab233] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 09/28/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY QUESTION Can label-free, non-invasive optical imaging by hyperspectral autofluorescence microscopy discern between euploid and aneuploid cells within the inner cell mass (ICM) of the mouse preimplantation embryo? SUMMARY ANSWER Hyperspectral autofluorescence microscopy enables discrimination between euploid and aneuploid ICM in mouse embryos. WHAT IS KNOWN ALREADY Euploid/aneuploid mosaicism affects up to 17.3% of human blastocyst embryos with trophectoderm biopsy or spent media currently utilized to diagnose aneuploidy and mosaicism in clinical in vitro fertilization. Based on their design, these approaches will fail to diagnose the presence or proportion of aneuploid cells within the foetal lineage ICM of some blastocyst embryos. STUDY DESIGN, SIZE, DURATION The impact of aneuploidy on cellular autofluorescence and metabolism of primary human fibroblast cells and mouse embryos was assessed using a fluorescence microscope adapted for imaging with multiple spectral channels (hyperspectral imaging). Primary human fibroblast cells with known ploidy were subjected to hyperspectral imaging to record native cell fluorescence (4-6 independent replicates, euploid n = 467; aneuploid n = 969). For mouse embryos, blastomeres from the eight-cell stage (five independent replicates: control n = 39; reversine n = 44) and chimeric blastocysts (eight independent replicates: control n = 34; reversine n = 34; 1:1 (control:reversine) n = 30 and 1:3 (control:reversine) n = 37) were utilized for hyperspectral imaging. The ICM from control and reversine-treated embryos were mechanically dissected and their karyotype confirmed by whole genome sequencing (n = 13 euploid and n = 9 aneuploid). PARTICIPANTS/MATERIALS, SETTING, METHODS Two models were employed: (i) primary human fibroblasts with known karyotype and (ii) a mouse model of embryo aneuploidy where mouse embryos were treated with reversine, a reversible spindle assembly checkpoint inhibitor, during the four- to eight-cell division. Individual blastomeres were dissociated from control and reversine-treated eight-cell embryos and either imaged directly or used to generate chimeric blastocysts with differing ratios of control:reversine-treated cells. Individual blastomeres and embryos were interrogated by hyperspectral imaging. Changes in cellular metabolism were determined by quantification of metabolic co-factors (inferred from their autofluorescence signature): NAD(P)H and flavins with the subsequent calculation of the optical redox ratio (ORR: flavins/[NAD(P)H + flavins]). Autofluorescence signals obtained from hyperspectral imaging were examined mathematically to extract features from each cell/blastomere/ICM. This was used to discriminate between different cell populations. MAIN RESULTS AND THE ROLE OF CHANCE An increase in the relative abundance of NAD(P)H and decrease in flavins led to a significant reduction in the ORR for aneuploid cells in primary human fibroblasts and reversine-treated mouse blastomeres (P < 0.05). Mathematical analysis of endogenous cell autofluorescence achieved separation between (i) euploid and aneuploid primary human fibroblast cells, (ii) control and reversine-treated mouse blastomeres cells, (iii) control and reversine-treated chimeric blastocysts, (iv) 1:1 and 1:3 chimeric blastocysts and (v) confirmed euploid and aneuploid ICM from mouse blastocysts. The accuracy of these separations was supported by receiver operating characteristic curves with areas under the curve of 0.97, 0.99, 0.87, 0.88 and 0.93, respectively. We believe that the role of chance is low as mathematical features separated euploid from aneuploid in both human fibroblasts and ICM of mouse blastocysts. LARGE SCALE DATA N/A. LIMITATIONS, REASONS FOR CAUTION Although we were able to discriminate between euploid and aneuploid ICM in mouse blastocysts, confirmation of this approach in human embryos is required. While we show this approach is safe in mouse, further validation is required in large animal species prior to implementation in a clinical setting. WIDER IMPLICATIONS OF THE FINDINGS We have developed an original, accurate and non-invasive optical approach to assess aneuploidy within the ICM of mouse embryos in the absence of fluorescent tags. Hyperspectral autofluorescence imaging was able to discriminate between euploid and aneuploid human fibroblast and mouse blastocysts (ICM). This approach may potentially lead to a new diagnostic for embryo analysis. STUDY FUNDING/COMPETING INTEREST(S) K.R.D. is supported by a Mid-Career Fellowship from the Hospital Research Foundation (C-MCF-58-2019). This study was funded by the Australian Research Council Centre of Excellence for Nanoscale Biophotonics (CE140100003) and the National Health and Medical Research Council (APP2003786). The authors declare that there is no conflict of interest.
Collapse
Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Saabah B Mahbub
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Jared M Campbell
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Abbas Habibalahi
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Carl A Campugan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Ryan D Rose
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Fertility SA, St. Andrews Hospital, Adelaide, SA, Australia
| | - Darren J X Chow
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Sanam Mustafa
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Ewa M Goldys
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| |
Collapse
|
16
|
Gosnell ME, Staikopoulos V, Anwer AG, Mahbub SB, Hutchinson MR, Mustafa S, Goldys EM. Autofluorescent imprint of chronic constriction nerve injury identified by deep learning. Neurobiol Dis 2021; 160:105528. [PMID: 34626794 DOI: 10.1016/j.nbd.2021.105528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 01/21/2023] Open
Abstract
Our understanding of chronic pain and the underlying molecular mechanisms remains limited due to a lack of tools to identify the complex phenomena responsible for exaggerated pain behaviours. Furthermore, currently there is no objective measure of pain with current assessment relying on patient self-scoring. Here, we applied a fully biologically unsupervised technique of hyperspectral autofluorescence imaging to identify a complex signature associated with chronic constriction nerve injury known to cause allodynia. The analysis was carried out using deep learning/artificial intelligence methods. The central element was a deep learning autoencoder we developed to condense the hyperspectral channel images into a four- colour image, such that spinal cord tissue based on nerve injury status could be differentiated from control tissue. This study provides the first validation of hyperspectral imaging as a tool to differentiate tissues from nerve injured vs non-injured mice. The auto-fluorescent signals associated with nerve injury were not diffuse throughout the tissue but formed specific microscopic size regions. Furthermore, we identified a unique fluorescent signal that could differentiate spinal cord tissue isolated from nerve injured male and female animals. The identification of a specific global autofluorescence fingerprint associated with nerve injury and resultant neuropathic pain opens up the exciting opportunity to develop a diagnostic tool for identifying novel contributors to pain in individuals.
Collapse
Affiliation(s)
- Martin E Gosnell
- Quantitative Pty Ltd, 118 Great Western Highway, Mount Victoria, NSW 2786, Australia
| | - Vasiliki Staikopoulos
- ARC Centre of Excellence for Nanoscale Biophotonics, University of Adelaide, Adelaide 5005, Australia; Adelaide Medical School, University of Adelaide, Adelaide 5005, Australia
| | - Ayad G Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, NSW 2052, Australia; Graduate School of Biomedical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Saabah B Mahbub
- ARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, NSW 2052, Australia; Graduate School of Biomedical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Mark R Hutchinson
- ARC Centre of Excellence for Nanoscale Biophotonics, University of Adelaide, Adelaide 5005, Australia; Adelaide Medical School, University of Adelaide, Adelaide 5005, Australia
| | - Sanam Mustafa
- ARC Centre of Excellence for Nanoscale Biophotonics, University of Adelaide, Adelaide 5005, Australia; Adelaide Medical School, University of Adelaide, Adelaide 5005, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, NSW 2052, Australia; Graduate School of Biomedical Engineering, UNSW Sydney, NSW 2052, Australia.
| |
Collapse
|
17
|
Dong X, Tong G, Song X, Xiao X, Yu Y. DMD-based hyperspectral microscopy with flexible multiline parallel scanning. MICROSYSTEMS & NANOENGINEERING 2021; 7:68. [PMID: 34567780 PMCID: PMC8433375 DOI: 10.1038/s41378-021-00299-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 07/21/2021] [Accepted: 07/23/2021] [Indexed: 05/16/2023]
Abstract
As one of the most common hyperspectral microscopy (HSM) techniques, line-scanning HSM is currently utilized in many fields. However, its scanning efficiency is still considered to be inadequate since many biological and chemical processes occur too rapidly to be captured. Accordingly, in this work, a digital micromirror device (DMD) based on microelectromechanical systems (MEMS) is utilized to demonstrate a flexible multiline scanning HSM system. To the best of our knowledge, this is the first line-scanning HSM system in which the number of scanning lines N can be tuned by simply changing the DMD's parallel scanning units according to diverse applications. This brilliant strategy of effortless adjustability relies only on on-chip scanning methods and totally exploits the benefits of parallelization, aiming to achieve nearly an N-time improvement in the detection efficiency and an N-time decrease in the scanning time and data volume compared with the single-line method under the same operating conditions. To validate this, we selected a few samples of different spectral wavebands to perform reflection imaging, transmission imaging, and fluorescence imaging with varying numbers of scanning lines. The results show the great potential of our DMD-based HSM system for the rapid development of cellular biology, material analysis, and so on. In addition, its on-chip scanning process eliminates the inherent microscopic architecture, making the whole system compact, lightweight, portable, and not subject to site constraints.
Collapse
Affiliation(s)
- Xue Dong
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518057 China
- Ningbo Institute of Northwestern Polytechnical University, Ningbo, 315103 China
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Northwestern Polytechnical University, Xi’an, 710072 China
- Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Geng Tong
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518057 China
- Ningbo Institute of Northwestern Polytechnical University, Ningbo, 315103 China
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Northwestern Polytechnical University, Xi’an, 710072 China
- Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Xuankun Song
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518057 China
- Ningbo Institute of Northwestern Polytechnical University, Ningbo, 315103 China
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Northwestern Polytechnical University, Xi’an, 710072 China
- Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Xingchen Xiao
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518057 China
- Ningbo Institute of Northwestern Polytechnical University, Ningbo, 315103 China
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Northwestern Polytechnical University, Xi’an, 710072 China
- Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Yiting Yu
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518057 China
- Ningbo Institute of Northwestern Polytechnical University, Ningbo, 315103 China
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Northwestern Polytechnical University, Xi’an, 710072 China
- Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, Northwestern Polytechnical University, Xi’an, 710072 China
| |
Collapse
|