Abstract: A method of creating a secure collaborative analysis system for securely using a dataset from a plurality of laboratories (150) while ensuring confidentiality, integrity, and authenticity of input and result data among the plurality of collaborating laboratories (150) is presented. The plurality of laboratories (150) are communicatively connected to an execution environment. The method comprise creating a secure enclave (110) within the execution environment for data exchange and analysis, attestation of the execution environment and the secure enclave (110) to verify integrity and authenticity of the system, generating a random 12-byte character inside the secure enclave (110) to provide integrity protection for storing records in a database (130), and building a communication component to provide a means of secure communication between the plurality of laboratories (150) and the execution environment.

Abstract: A monitoring device for monitoring a sample handling system comprising: a sliding unit comprising a sliding surface, wherein the sliding unit is configured for sliding over a sample transport device of the sample handling system; and an imaging streaming unit comprising s camera, wherein the camera is configured for capturing a plurality of images, wherein the imaging streaming unit comprises an imaging communication interface for providing the plurality of captured images to a transport control system of the sample handling system. Further disclosed is a transport control system for controlling transport of a plurality of sample container holders of a sample handling system, a sample handling system for handling a plurality of samples, a method for identifying an obstacle, a method for determining a distance between the obstacle and a monitoring device and a method for controlling a monitoring device and computer programs and computer-readable storage media for performing the methods.

Abstract: A method for determining at least one state of at least one cavity of a transport interface configured for transporting sample tubes is provided and comprises: capturing at least one image of at least a part of the transport interface by using at least one camera; categorizing the state of the cavity into at least one category by applying at least one trained model on the image by using at least one processing unit, wherein the trained model is being trained on image data of the transport interface, wherein the image data comprises a plurality of images of the transport interface with cavities in different states; and providing the determined category of at least one cavity via at least one communication interface.