An example biosensor includes a substrate, a graphene layer disposed on the substrate, and a binding site bonded to the graphene. The binding site includes an antibody configured to bind a SARS-CoV-2 spike glycoprotein.

Exemplary systems, devices, methods, apparatus and computer-accessible media for providing and/or utilizing optical frequency domain imaging (OFDI) and fluorescence of structures and, e.g., multimodality imaging using OFDI techniques and fluorescence imaging techniques are described. For example, an arrangement can provide at least one electro-magnetic radiation to an anatomical structure. Such exemplary arrangement can include at least one optical core and at least one cladding at least partially surrounding the fiber(s). A region between the optical core(s) and the cladding(s) can have an index that is different from indexes of the optical core(s) and the cladding(s). The arrangement can also include at least one apparatus which is configured to transmit the radiation(s) via the optical core(s) and the cladding(s) to the anatomical structure.

Exemplary systems, devices, methods, apparatus and computer-accessible media for providing and/or utilizing optical frequency domain imaging (OFDI) and fluorescence of structures and, e.g., multimodality imaging using OFDI techniques and fluorescence imaging techniques are described. For example, an arrangement can provide at least one electro-magnetic radiation to an anatomical structure. Such exemplary arrangement can include at least one optical core and at least one cladding at least partially surrounding the fiber(s). A region between the optical core(s) and the cladding(s) can have an index that is different from indexes of the optical core(s) and the cladding(s). The arrangement can also include at least one apparatus which is configured to transmit the radiation(s) via the optical core(s) and the cladding(s) to the anatomical structure.

The present invention relates to a method for evaluating the thermal expansion properties of a titania-containing glass body. On the basis of measured values, obtained at a certain temperature, for a physical parameter that changes depending on the titania concentration and a physical parameter that changes depending on the fictive temperature, the thermal expansion coefficient of the titania-containing silica glass body and the slope of the thermal expansion coefficient are calculated using a linear relational expression represented by a plurality of physical properties. The thermal expansion properties of the titania-containing silica glass body are evaluated on the basis of the calculated thermal expansion coefficient and thermal expansion coefficient slope.

A spectrometry device includes a switch and a converter. The switch acquires a first reception signal and a second reception signal that respectively include information relating to an optical spectrum and switches between outputting the first reception signal and outputting the second reception signal based on control by a controller. The converter converts the first reception signal or the second reception signal output from the switch into a digital signal.

A spectrometry device includes a switch and a converter. The switch acquires a first reception signal and a second reception signal that respectively include information relating to an optical spectrum and switches between outputting the first reception signal and outputting the second reception signal based on control by a controller. The converter converts the first reception signal or the second reception signal output from the switch into a digital signal.

A general purpose sensor architecture integrating a surface enhanced Raman spectroscopy (SERS) substrate, a diffractive laser beam delivery substrate and a diffractive infrared detection substrate is provided that can be used to implement a low-cost, compact lab-on-a-chip biosensor that can meet the needs of large-scale infectious disease testing. The sensor architecture can also be used in any other application in which molecules present in the liquid, gaseous or solid phases need to be characterized reliably, cost-effectively and with minimal intervention by highly skilled personnel.

Disclosed is an apparatus and method for fluorescence excitation and detection. The apparatus comprises one or more light sources for providing excitation light for fluorescence excitation at an observation spot along an optical axis for excitation, an optical collection element for collecting fluorescence light generated by the excitation light at two or more different observation spots into two or more different measurement channels with an optical axis for collecting non-parallel to the optical axis for excitation of each of the one or more light sources, and, for each of the two or more measurement channels and thereby for each of the two or more observation spots, a dedicated optical detector for detecting fluorescence from the fluorescence light collected by the optical collection element.

A method for analyzing 2D material thin film and a system for analyzing 2D material thin film are disclosed. The detection method includes the following steps: capturing sample images of 2D material thin films; measuring the 2D material thin films by a Raman spectrometer; performing a visible light hyperspectral algorithm on the sample images by a processor to generate a plurality of visible light hyperspectral images; performing a training and validation procedure, performing an image feature algorithm on the visible light hyperspectral images, and establishing a thin film prediction model based on a validation; and capturing a thin-film image to be measured by the optical microscope, performing the visible light hyperspectral algorithm, and then generating a distribution result of the thin-film image to be measured according to an analysis of the thin film prediction model.

A method for analyzing 2D material thin film and a system for analyzing 2D material thin film are disclosed. The detection method includes the following steps: capturing sample images of 2D material thin films; measuring the 2D material thin films by a Raman spectrometer; performing a visible light hyperspectral algorithm on the sample images by a processor to generate a plurality of visible light hyperspectral images; performing a training and validation procedure, performing an image feature algorithm on the visible light hyperspectral images, and establishing a thin film prediction model based on a validation; and capturing a thin-film image to be measured by the optical microscope, performing the visible light hyperspectral algorithm, and then generating a distribution result of the thin-film image to be measured according to an analysis of the thin film prediction model.