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Denning, C.

Publications and source records attributed to Denning, C..

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Surface Plasmon Resonance Imaging of Excitable Cells

Surface plasmons are highly sensitive to refractive index variations adjacent to the surface. This sensitivity has been exploited successfully for chemical and biological assays. In these systems, a surface plasmon resonance (SPR)-based sensor detects temporal variations in the refractive index at a point. SPR has also been used in imaging systems where the spatial variations of refractive index in the sample provide the contrast mechanism. A high numerical aperture objective lens has been used to design SPR microscopy systems with the ability to image adherent live cells. Addressing research questions in cell physiology and pharmacology often requires the development of a multimodal microscope where complementary information can be obtained.\n\nIn this paper, we present the development of a multimodal microscope that combines surface plasmon resonance imaging with a number of additional imaging modalities including bright-field, epi-fluorescence, total internal reflection microscopy (TIRM) and SPR fluorescence microscopy. We used a high numerical aperture objective lens to achieve SPR and TIR microscopy with the ability to image adherent live cells non-invasively. The platform has been used to image live cell cultures demonstrating both fluorescent and label-free techniques. The SPR and TIR imaging systems feature a wide field of view (300 {micro}m) that allows measurements from multiple cells while the resolution is sufficient to image fine cellular processes. The ability of the platform to perform label-free functional imaging of living cell was demonstrated by imaging the spatial variations in contraction of stem cell-derived cardiomyocytes. This technique has a promise for non-invasive imaging of the development of cultured cells over very long periods of time.

bioengineering

Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

Contraction of muscle reflects its physiological state. Methods to quantify contraction are often complex, expensive and tailored to specific models or recording conditions, or require specialist knowledge for data extraction. Here we describe an automated, open-source software tool (MUSCLEMOTION) adaptable for use with standard laboratory and clinical imaging equipment that enables quantitative analysis of normal cardiac contraction, disease phenotypes and pharmacological responses. MUSCLEMOTION allowed rapid and easy measurement of contractility in (i) single cardiomyocytes from primary adult heart and human pluripotent stem cells, (ii) multicellular 2D-cardiomyocyte cultures, 3D engineered heart tissues and cardiac organoids/microtissues in vitro and (iii) intact hearts of zebrafish and humans in vivo. Good correlation was found with conventional measures of contraction in each system. Thus, using a single method for processing video recordings, we obtained reliable pharmacological data and measures of cardiac disease phenotype in experimental cell- and animal models and human echocardiograms.

physiology