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This book provides an essential overview of existing state-of-the-art quantitative imaging methodologies and protocols (intensity-based ratiometric and FLIM/ PLIM). A variety of applications are covered, including multi-parametric quantitative imaging in intestinal organoid culture, autofluorescence imaging in cancer and stem cell biology, Ca2+ imaging in neural ex vivo tissue models, as well as multi-parametric imaging of pH and viscosity in cancer biology. The current state-of-the-art of 3D tissue models and their compatibility with live cell imaging is also covered. This is an ideal book…mehr

Produktbeschreibung
This book provides an essential overview of existing state-of-the-art quantitative imaging methodologies and protocols (intensity-based ratiometric and FLIM/ PLIM). A variety of applications are covered, including multi-parametric quantitative imaging in intestinal organoid culture, autofluorescence imaging in cancer and stem cell biology, Ca2+ imaging in neural ex vivo tissue models, as well as multi-parametric imaging of pH and viscosity in cancer biology. The current state-of-the-art of 3D tissue models and their compatibility with live cell imaging is also covered. This is an ideal book for specialists working in tissue engineering and designing novel biomaterial.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Ruslan I. Dmitriev graduated from Lomonosov Moscow State Academy of Fine Chemical Technology (MSc) and Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry (PhD, 2008), where he studied membrane ion-transporting proteins and protein interactions. He trained as postdoc at University College Cork, focusing on cell metabolism, hypoxia research and development and biological applications of cell-penetrating phosphorescent probes for molecular oxygen. Since 2014, he leads Metabolic Imaging group at University College Cork, where he designs novel biocompatible FLIM and PLIM biosensors for 3D tissue models for regenerative medicine and cancer biology.