Time resolved 3D live-cell imaging on implants

Abstract

It is estimated that two million new dental implants are inserted worldwide each year. Innovative implant materials are developed in order to minimize the risk of peri-implant inflammations. The broad range of material testing is conducted using standard 2D, terminal, and invasive methods. The methods that have been applied are not sufficient to monitor the whole implant surface and temporal progress. Therefore, we built a 3D peri-implant model using a cylindrical implant colonized by human gingival fibroblasts. In order to monitor the cell response over time, a non-toxic LIVE/DEAD staining was established and applied to the new 3D model. Our LIVE/DEAD staining method in combination with the time resolved 3D visualization using Scanning Laser Optical Tomography (SLOT), allowed us to monitor the cell death path along the implant in the 3D peri-implant model. The differentiation of living and dead gingival fibroblasts in response to toxicity was effectively supported by the LIVE/DEAD staining. Furthermore, it was possible to visualize the whole cell-colonized implant in 3D and up to 63 hours. This new methodology offers the opportunity to record the long-term cell response on external stress factors, along the dental implant and thus to evaluate the performance of novel materials/surfaces.

Stimulation of Osteogenic Activity of Autologous Teeth Hard Tissues as Bone Augmentation Material

“…The results of dynamic live cell imaging were also in agreement with other presented findings evaluating cell growth by time-lapse methods, e.g., the positive effect of HTT on the growth of gingival fibroblasts on the implant surface and on their ability to produce collagen [41]. Ingendoh-Tsakmakidis also used the non-invasive optical monitoring of the response of living cells in a 3D model of a peri-implant in vitro and the response of tissue cells to biofilm growth along the implant [42]. These works fully agree with the increase in the locomotion activity of the MG 63 cells in the HTT lysate observed in the current study after exposure to 0.6 N HCl and 10% EDTA.…”

Voreen -- An Open-source Framework for Interactive Visualization and Processing of Large Volume Data

“…Moreover, the same components and data flow network definitions can be used for complex quantitative evaluation via a headless interface and using the integrated python scripting capabilities, including bulk processing. The value and contribution to the scientific community of Voreen and, in particular, its recent advancements is evidenced by the fact that it is used as a foundation in many research projects [2], [10], [29], [46] and is widely used for its existing functionality in biomedical [5], [17], [18] and broader natural science [27] research.…”