Abstract: A calorimetric sensor for high-throughput screening of bioenergetics, including single cells, includes a substrate defining an interior cavity; a thermally and electrically insulating membrane extending from the substrate across the interior cavity; a plurality of thermally conductive strips bonded to the membrane; a first thermopile on the membrane and comprising a plurality of thermocouples connected in series. The thermocouples of the first thermopile extend between the first thermally conductive strip and the second thermally conductive strip, providing thermal communication therebetween, and are configured to provide a measurement of a temperature difference between the first and second thermally conductive strips. A thermally and electrically insulating coating covers the thermally and electrically insulating membrane, the thermally conductive strips, and the first thermopile.

Abstract: Embodiments described herein use deep learning to automate measurement of key morphokinetic embryo features associated with viability and quality, in particular those relevant for clinical in-vitro fertilization (IVF). Systems and methods may, for example, acquire one or more digital images of one or more embryos; select one or more embryos in each digital image; and for each selected embryo, (i) computationally characterize the zona pellucida, detect the degree of fragmentation in the embryo, and for each embryo with a low fragmentation score, computationally classify the embryo's developmental stage based on whether cells constituting the embryo exceed a threshold number (e.g., nine). For an embryo consisting of a single cell, pronuclei may be detected and counted. Based on these measurements, a viability score may be assigned to the embryo.

Abstract: Embodiments described herein use deep learning to automate measurement of key morphokinetic embryo features associated with viability and quality, in particular those relevant for clinical in-vitro fertilization (IVF). Systems and methods may, for example, acquire one or more digital images of one or more embryos; select one or more embryos in each digital image; and for each selected embryo, (i) computationally characterize the zona pellucida, detect the degree of fragmentation in the embryo, and for each embryo with a low fragmentation score, computationally classify the embryo's developmental stage based on whether cells constituting the embryo exceed a threshold number (e.g., nine). For an embryo consisting of a single cell, pronuclei may be detected and counted. Based on these measurements, a viability score may be assigned to the embryo.

Abstract: A device for imaging sensitive biological samples is provided. The device can include a plastic frame and a glass coverslip, each can be comprised of a biologically compatible material. The device can then be configured such that a biological sample placed therein can only be in contact with biologically compatible materials and, when imaged, provide optimal imaging characteristics by allowing imaging through the glass coverslip.

Abstract: The invention provides novel non-invasive in vitro methods for assessing the metabolic condition of oocytes and/or embryos with fluorescence lifetime imaging microscope, that can be used, for example, in assessment of oocytes and embryos in assisted reproductive technologies.

Abstract: Embodiments described herein use deep learning to automate measurement of key morphokinetic embryo features associated with viability and quality, in particular those relevant for clinical in-vitro fertilization (IVF). Systems and methods may, for example, acquire one or more digital images of one or more embryos; select one or more embryos in each digital image; and for each selected embryo, (i) computationally characterize the zona pellucida, detect the degree of fragmentation in the embryo, and for each embryo with a low fragmentation score, computationally classify the embryo's developmental stage based on whether cells constituting the embryo exceed a threshold number (e.g., nine). For an embryo consisting of a single cell, pronuclei may be detected and counted. Based on these measurements, a viability score may be assigned to the embryo.

Abstract: The invention provides novel non-invasive in vitro methods for assessing the metabolic condition of oocytes and/or embryos with fluorescence lifetime imaging microscope, that can be used, for example, in assessment of oocytes and embryos in assisted reproductive technologies.

Abstract: The present invention generally relates to non-linear imaging systems and methods for use in various assisted reproductive technologies and other applications. In one aspect, the present invention is generally directed to two-photon and other non-linear microscope techniques that can be used to determine the status or maturity state of eggs or egg follicles, for example by determining the presence of polar bodies within the egg follicles. In some embodiments, endogenous metabolites, such as NADH or FAD, can be determined, and in some cases without externally altering those metabolite concentrations or without adding other compounds. Other embodiments of the invention are also directed to computer programs or systems that can be used to determine the status or maturity state of eggs or egg follicles, kits involving such systems, or the like.

Abstract: The present invention generally relates to non-linear imaging systems and methods for use in various assisted reproductive technologies and other applications. In one aspect, the present invention is generally directed to two-photon and other non-linear microscope techniques that can be used to determine the status or maturity state of eggs or egg follicles, for example by determining the presence of polar bodies within the egg follicles. In some embodiments, endogenous metabolites, such as NADH or FAD, can be determined, and in some cases without externally altering those metabolite concentrations or without adding other compounds. Other embodiments of the invention are also directed to computer programs or systems that can be used to determine the status or maturity state of eggs or egg follicles, kits in such systems, or the like.

Abstract: The invention provides novel non-invasive in vitro methods for assessing the metabolic condition of oocytes and/or embryos with fluorescence lifetime imaging microscope, that can be used, for example, in assessment of oocytes and embryos in assisted reproductive technologies.

Abstract: The present invention generally relates to non-linear imaging systems and methods for use in various assisted reproductive technologies and other applications. In one aspect, the present invention is generally directed to two-photon and other non-linear microscope techniques that can be used to determine the status or maturity state of eggs or egg follicles, for example by determining the presence of polar bodies within the egg follicles. In some embodiments, endogenous metabolites, such as NADH or FAD, can be determined, and in some cases without externally altering those metabolite concentrations or without adding other compounds. Other embodiments of the invention are also directed to computer programs or systems that can be used to determine the status or maturity state of eggs or egg follicles, kits in such systems, or the like.

Abstract: The invention provides novel non-invasive in vitro to methods for assessing the metabolic condition of oocytes and/or embryos with fluorescence lifetime imaging microscope, that can be used, for example, in assessment of oocytes and embryos in assisted reproductive technologies.