In situ cancer diagnosis through online plasmonics.

Most cancer diagnoses rely on biomarkers detection. This could be improved if directly conducted in suspicious cancer spots, preventing the need for biopsy. Lung cancer remains a perfect study-case for such a development, as it is generally detected at advanced stage and is in the need for early diagnosis techniques.

Automatic characterization of soft tissues material properties during mechanical tests.

Introduction: The estimation of the non-linear viscoelastic characteristics of human soft tissues, such as ligaments and tendon, is often affected by the implemented procedure. This study aims at developing and validating a protocol, associated with a contactless and automatic procedure, enabling the determination of the material behavior and properties of any soft tissues.

Methods: Several markers were drawn onto the soft tissue specimen analyzed under uniaxial tensile test.

Cancer biomarker sensing using packaged plasmonic optical fiber gratings: Towards in vivo diagnosis.

This work presents the development of an innovative plasmonic optical fiber (OF) immunosensor for the detection of cytokeratin 17 (CK17), a biomarker of interest for lung cancer diagnosis. The development of this sensing platform is such that it can be assessed in non-liquid environments, demonstrating that a surface plasmon resonance (SPR) can be excited in this case. For this purpose, detections have been first carried out on CK17 encapsulated in gel matrix in the aim of mimicking tissue samples.

[Robots and intellectual property].

This topic is part of the global issue concerning the necessity to adapt intellectual property law to constant changes in technology. The relationship between robots and IP is dual. On one hand, the robots may be regarded as objects of intellectual property.