Abstract: A microscope system (100) configured to record images in at least a first and a second imaging mode (501, 502), comprising: An objective (1) collecting light (201) from a sample (11), An illumination module coupled to the objective, A first reimaging objective (5) generating an intermediate image of the sample and a second reimaging objective (6) that relays the intermediate image onto a detection module, An evaluation module (200) comprising a machine learning method (DL), trained with a first and a second set of images of the same sample, wherein the first and second set has been acquired in the first (501) and second imaging mode (502), respectively, wherein upon acquisition of an image (400) in the second imaging mode (502) the trained machine learning method (DL) outputs a restored image (401) that comprises fewer aberrations than the image (400) acquired in the second imaging mode (52, 53, 57).

Abstract: The invention relates to a sample holder assembly (1) for microscopy comprising at least the following components: A first member (10) having a first opening (14) on a first side of the first member (10), and a circumferential wall portion (12) having an inward facing side (12-1) that faces toward the first volume (V1) and an outward facing side (12-2) opposite the inward facing side (12-1); A second member (20) having a first opening (24) at a first side of the second member (20), and a circumferential wall portion (22) having an inward facing side (22-1) facing toward the second volume (V2), wherein a shape of the outward facing side (12-2) of the wall portion (12) of the first member (10) is complementary to the inward facing side (22-1) of the wall portion (22) of the second member (20), such that the wall portion (12) of the first member (10) can be inserted in the second volume (V2), such that the first volume (V1) is at least partially comprised by the second volume (V2); A transparent membrane (30) ha

Abstract: The present invention relates to a method for modifying a target site in a host cell comprising contacting said host cell with a Cas nuclease, wherein said host cell is further contacted with a low-affinity Cas inhibitor and/or a sub-inhibitory concentration of a Cas inhibitor; and to a method for improving specificity of a Cas nuclease, comprising a) providing a Cas nuclease; and b) contacting said Cas nuclease with a low-affinity Cas inhibitor or a sub-inhibitory concentration of a Cas inhibitor; and c) thereby improving specificity of said Cas enzyme. Further, the present invention relates to compositions, polypeptides, uses and methods related thereto.

Abstract: The present invention relates to a polynucleotide encoding a fusion polypeptide comprising an anti-CRISPR (Acr) polypeptide, wherein said fusion polypeptide further comprises a receptor domain changing conformation upon reception of a stimulus. The present invention also relates to a vector comprising the polynucleotide of the present invention, to a bipartite Acr polypeptide comprising a first partial Acr polypeptide comprising amino acids corresponding to amino acids 10 to 62 of SEQ ID NO: 1, and a second partial Acr polypeptide comprising amino acids corresponding to amino acids 67 to 77 of SEQ ID NO: 1, and to a host cell comprising the aforesaid polynucleotide compounds. The present invention also relates to the said compounds for use in medicine, in particular for use in treatment and/or prevention of genetic disease, neurodegenerative disease, cancer, and/or infectious disease. Moreover, the present invention also relates to a kit, methods, and uses related thereto.

Abstract: The present invention relates to a polynucleotide comprising (i) a sequence encoding an anti-CRISPR (Acr) polypeptide and (ii) an miRNA target sequence and to vectors and host cells related thereto.

Abstract: The present invention relates to a polypeptide or polypeptide complex, comprising at least one non-ribosomal peptide synthesis (NRPS) amino acid module functionally connected to at least one pigment module. The present invention further relates to a labeled oligopeptide comprising a non-naturally attached NRPS pigment or/and polyketide pigment, to a polynucleotide encoding a fusion polypeptide, a vector, preferably an expression vector, comprising the polynucleotide of the present invention and to a host cell comprising the polypeptide or polypeptide complex and/or the polynucleotide, and/or the vector according to the present invention. Moreover, the present invention relates to in vitro and in vivo method of producing a labeled oligopeptide, as well as to methods of optimizing the same.

Abstract: The present invention relates to the field of cancer therapy. Specifically, a chemotaxis fusion-receptor that directs bacteria towards tumors is disclosed. Further encompassed by the present invention is a bacterial cell that comprises at least one chemotaxis fusion-receptor and, preferably, a killing module for the destruction of tumor cells.

Abstract: The invention relates to the quantitative analysis and/or visualization (virtual or real) of moving processes and to the detection, description, correction and the comparison of global movements inside the image space. The invention particularly relates to a method and device for precisely and, while being limited to few parameters, quantitatively describing the global and local movement occurring in the image space and for the single representation of the movement of the quantitative parameters with regard to the image space. A rough to fine recording and a detection of and compensation for global movements occurs whereby enabling a tracking and a corrected visualization. The detection of the movement, which corresponds as precisely as possible to the real movement occurring in the image space is effected by a splines a plaques minces recording technique that enables the number of movement parameters to be kept low. A fully automatic execution of all partial steps is made possible.

Abstract: The present invention is related to methods for detecting leukemia cells by determining the expression profile of a group of markers. In particular, the type or subtype of leukemia cells in a sample is determined. Further, uses of the group of markers is discloses and compositions comprising these markers.

Abstract: The invention relates to the quantitative analysis and/or visualization (virtual or real) of moving processes and to the detection, description, correction and the comparison of global movements inside the image space. The invention particularly relates to a method and device for precisely and, while being limited to few parameters, quantitatively describing the global and local movement occurring in the image space and for the single representation of the movement of the quantitative parameters with regard to the image space. A rough to fine recording and a detection of and compensation for global movements occurs whereby enabling a tracking and a corrected visualization. The detection of the movement, which corresponds as precisely as possible to the real movement occurring in the image space is effected by a splines a plaques minces recording technique that enables the number of movement parameters to be kept low. A fully automatic execution of all partial steps is made possible.

Abstract: The present invention is directed to methods, devices and systems for classifying genetic conditions, diseases, tumors etc., and/or for predicting genetic diseases, and/or for associating molecular genetic parameters with clinical parameters and/or for identifying tumors by gene expression profiles, etc. The invention specifies such methods, devices and systems with the steps of providing molecular genetic data and/or clinical data, automatically classification, prediction, association and/or identification data by means of a supervising machine learning system. There are further described methods making use of these steps and respective means.

Abstract: The present invention relates to a method and a program for the comparative, automatic classification of tumours based on chromosomal aberration patterns. The method for automatically classifying tumours according to the present invention particularly comprises the steps of providing a data base with tumour data of different tumour types and automatically generating rules with which the tumour data are assigned to a plurality of tumour types.