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Dive into the research topics where Chiara Canali is active.

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Featured researches published by Chiara Canali.


Materials Science and Engineering: C | 2015

Fabrication of scalable and structured tissue engineering scaffolds using water dissolvable sacrificial 3D printed moulds.

Soumyaranjan Mohanty; Layla Bashir Larsen; Jon Trifol; Peter Szabo; Harsha Vardhan reddy Burri; Chiara Canali; M. Dufva; Jenny Emnéus; Anders Wolff

One of the major challenges in producing large scale engineered tissue is the lack of ability to create large highly perfused scaffolds in which cells can grow at a high cell density and viability. Here, we explore 3D printed polyvinyl alcohol (PVA) as a sacrificial mould in a polymer casting process. The PVA mould network defines the channels and is dissolved after curing the polymer casted around it. The printing parameters determined the PVA filament density in the sacrificial structure and this density resulted in different stiffness of the corresponding elastomer replica. It was possible to achieve 80% porosity corresponding to about 150 cm(2)/cm(3) surface to volume ratio. The process is easily scalable as demonstrated by fabricating a 75 cm(3) scaffold with about 16,000 interconnected channels (about 1m(2) surface area) and with a channel to channel distance of only 78 μm. To our knowledge this is the largest scaffold ever to be produced with such small feature sizes and with so many structured channels. The fabricated scaffolds were applied for in-vitro culturing of hepatocytes over a 12-day culture period. Smaller scaffolds (6×4 mm) were tested for cell culturing and could support homogeneous cell growth throughout the scaffold. Presumably, the diffusion of oxygen and nutrient throughout the channel network is rapid enough to support cell growth. In conclusion, the described process is scalable, compatible with cell culture, rapid, and inexpensive.


Journal of Electrical Bioimpedance , 7 (1) pp. 59-67. (2016) | 2016

Electrical impedance tomography methods for miniaturised 3D systems

Chiara Canali; K. Aristovich; Lorenzo Ceccarelli; Layla Bashir Larsen; Ørjan G. Martinsen; Anders Wolff; Martin Dufva; Jenny Emnéus; Arto Heiskanen

Abstract In this study, we explore the potential of electrical impedance tomography (EIT) for miniaturised 3D samples to provide a non-invasive approach for future applications in tissue engineering and 3D cell culturing. We evaluated two different electrode configurations using an array of nine circular chambers (Ø 10 mm), each having eight gold plated needle electrodes vertically integrated along the chamber perimeter. As first method, the adjacent electrode configuration was tested solving the computationally simple back-projection algorithm using Comsol Multiphysics in time-difference EIT (t-EIT). Subsequently, a more elaborate method based on the “polar-offset” configuration (having an additional electrode at the centre of the chamber) was evaluated using linear t-EIT and linear weighted frequency-difference EIT (f-EIT). Image reconstruction was done using a customised algorithm that has been previously validated for EIT imaging of neural activity. All the finite element simulations and impedance measurements on test objects leading to image reconstruction utilised an electrolyte having an ionic strength close to physiological solutions. The chosen number of electrodes and consequently number of electrode configurations aimed at maximising the quality of image reconstruction while minimising the number of required measurements. This is significant when designing a technique suitable for tissue engineering applications where time-based monitoring of cellular behaviour in 3D scaffolds is of interest. The performed tests indicated that the method based on the adjacent configuration in combination with the back-projection algorithm was only able to provide image reconstruction when using a test object having a higher conductivity than the background electrolyte. Due to limitations in the mesh quality, the reconstructed image had significant irregularities and the position was slightly shifted toward the perimeter of the chamber. On the other hand, the method based on the polar-offset configuration combined with the customised algorithm proved to be suitable for image reconstruction when using non-conductive and cell-based test objects (down to 1% of the measurement chamber volume), indicating its suitability for future tissue engineering applications with polymeric scaffolds.


latin american conference bioimpedance | 2016

Impedance-based monitoring for tissue engineering applications

Chiara Canali; Arto Heiskanen; Ørjan G. Martinsen; Soumyaranjan Mohanty; Martin Dufva; Anders Wolff; Jenny Emnéus

Impedance is a promising technique for sensing the overall process of tissue engineering. Different electrode configurations can be used to characterize the scaffold that supports cell organization in terms of hydrogel polymerization and degree of porosity, monitoring cell loading, cell proliferation as well as the spatial distribution of cell aggregates in 3D. We have previously shown that impedance measurements allow accurate determination of conductivity in physiological solutions independent of validation and analysis of a specific equivalent circuit. Similarly to a physiological solution, cell culture medium conductivity, and hence the measured impedance, can respond to proliferating or dying cells populating the scaffold. Impedance may therefore be a key parameter for monitoring the biochemical dynamics that modulate 3D mammalian cell cultures over time. Furthermore, the conductivity of the medium filling the pores of the scaffold can serve as the basis for porosity determination using Archie’s law. Different networks of structured or random channels and degree of porosity can be detected. In addition, by combining a number of two-, three- and four-terminal (2T, 3T, 4T) configurations, it is possible to obtain complementary information on spatial distribution of cells in a 3D scaffold. 2T- and 3T configurations also reflect the impedance at the interface between an electrode and cell-loaded scaffold (polarization impedance, Zp), which may convey a further degree of information about the biochemical phenomena taking place in that sub-volume.


Biosensors and Bioelectronics | 2015

Bioimpedance monitoring of 3D cell culturing—Complementary electrode configurations for enhanced spatial sensitivity

Chiara Canali; Arto Heiskanen; Haseena Bashir Muhammad; Per Høyum; Fred-Johan Pettersen; Mette Hemmingsen; Anders Wolff; Martin Dufva; Ørjan G. Martinsen; Jenny Emnéus


Electroanalysis | 2015

Impedance Spectroscopic Characterisation of Porosity in 3D Cell Culture Scaffolds with Different Channel Networks

Chiara Canali; Soumyaranjan Mohanty; Arto Heiskanen; Haseena Bashir Muhammad; Ørjan G. Martinsen; Martin Dufva; Anders Wolff; Jenny Emnéus


Analyst | 2015

An impedance method for spatial sensing of 3D cell constructs--towards applications in tissue engineering.

Chiara Canali; Chiara Mazzoni; Layla Bashir Larsen; Arto Heiskanen; Ørjan G. Martinsen; Anders Wolff; Martin Dufva; Jenny Emnéus


Sensors and Actuators B-chemical | 2015

Conductometric analysis in bio-applications: A universal impedance spectroscopy-based approach using modified electrodes

Chiara Canali; Layla Bashir Larsen; Ørjan G. Martinsen; Arto Heiskanen


Proceedings of the 2nd Ieee Embs Micro and Nanotechnology in Medicine Conference | 2014

Perfusion-based three dimensional (3D) tissue engineering platform with integrated bioimpedance sensing

Haseena Bashir Muhammad; Chiara Canali; Arto Heiskanen; Mette Hemmingsen; Anders Wolff; Martin Dufva; Jenny Emnéus


Procedia Technology | 2017

Development of a plastic membrane containing micro-hole(s) for a potential bio-sensing application

Vida Krikstolaityte; Tautgirdas Ruzgas; Arto Heiskanen; Chiara Canali; Thomas Arnebrant; Jenny Emnéus


XXIII International Symposium on Bioelectrochemistry and Bioenergetics | 2015

Electrical impedance spectroscopy with optimised electrode configurations for 3D tissue engineering applications

Chiara Canali; Layla Bashir Larsen; Arto Heiskanen; Chiara Mazzoni; Lorenzo Ceccarelli; Ørjan G. Martinsen; Anders Wolff; Martin Dufva; Jenny Emnéus

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Jenny Emnéus

Technical University of Denmark

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Anders Wolff

Technical University of Denmark

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Martin Dufva

Chalmers University of Technology

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Haseena Bashir Muhammad

Technical University of Denmark

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Layla Bashir Larsen

Technical University of Denmark

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Soumyaranjan Mohanty

Technical University of Denmark

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Mette Hemmingsen

Technical University of Denmark

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