1999 - Member of the National Academy of Sciences
Martin Weigert mainly focuses on Antibody, Molecular biology, Genetics, Receptor editing and Immunoglobulin light chain. His Antibody research integrates issues from Mutation, Receptor and Antigen. His Mutation research is multidisciplinary, incorporating perspectives in Amino acid and Cytoplasm.
His studies deal with areas such as Gene rearrangement, Transgene, Somatic cell, DNA and Epitope as well as Molecular biology. Gene, Immunoglobulin heavy chain, Antibody Diversity, Immunoglobulin gene and Allelic exclusion are the core of his Genetics study. His research in Receptor editing intersects with topics in Genetically modified mouse, Immune tolerance and Isotype.
Martin Weigert spends much of his time researching Molecular biology, Genetics, Antibody, Gene and Immunoglobulin light chain. The various areas that Martin Weigert examines in his Molecular biology study include DNA, Receptor editing, Transgene and B cell. Martin Weigert has included themes like Receptor and Gene rearrangement in his Receptor editing study.
The study of Antibody is intertwined with the study of Antigen in a number of ways. His Antigen research includes themes of Marginal zone and Virology. His Immunoglobulin light chain study integrates concerns from other disciplines, such as Lambda, Antibody Diversity and Inbred strain.
Martin Weigert focuses on Artificial intelligence, Convolutional neural network, Deep learning, Pattern recognition and Segmentation. His Artificial intelligence research incorporates themes from Adaptive optics, Computer vision, Sample, Microscopy and Computational biology. His Deep learning research includes elements of Ground truth and Cell.
His Pattern recognition study incorporates themes from Image processing, Face and Benchmark. His research in Segmentation intersects with topics in Object detection and Feature. Martin Weigert combines subjects such as Endothelial stem cell, Cell migration, B-cell receptor, B cell and Naive B cell with his study of Cell biology.
His primary areas of study are Microscope, Artificial intelligence, Optics, Microscopy and Convolutional neural network. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Deconvolution, Lateral resolution and Pattern recognition. His work on Segmentation is typically connected to Polygon, Regular polygon and Star as part of general Pattern recognition study, connecting several disciplines of science.
His Image resolution study in the realm of Optics connects with subjects such as Fluorescence-lifetime imaging microscopy. While the research belongs to areas of Image resolution, Martin Weigert spends his time largely on the problem of Resolution, intersecting his research to questions surrounding Image processing. His work deals with themes such as Ground truth, Deep learning and Blind spot, which intersect with Convolutional neural network.
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A Liquid-to-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutation
Avinash Patel;Hyun O. Lee;Louise Jawerth;Shovamayee Maharana.
Receptor editing: an approach by autoreactive B cells to escape tolerance.
Thomas Saunders;Sally Camper;Martin Weigert.
Journal of Experimental Medicine (1993)
The role of clonal selection and somatic mutation in autoimmunity.
Mark J. Shlomchik;Ann Marshak-Rothstein;Claudia B. Wolfowicz;Thomas L. Rothstein.
Anti-DNA antibodies from autoimmune mice arise by clonal expansion and somatic mutation.
M Shlomchik;M Mascelli;H Shan;M Z Radic.
Journal of Experimental Medicine (1990)
Variability in the lambda light chain sequences of mouse antibody.
Martin G. Weigert;Italo M. Cesari;Shirlee J. Yonkovich;Melvin Cohn.
Generation of antibody diversity in the immune response of BALB/c mice to influenza virus hemagglutinin
David McKean;Konrad Huppi;Michael Bell;Louis Staudt.
Proceedings of the National Academy of Sciences of the United States of America (1984)
Expression of anti-DNA immunoglobulin transgenes in non-autoimmune mice.
Jan Erikson;Marko Z. Radic;Sally A. Camper;Richard R. Hardy.
Structure and function of anti-DNA autoantibodies derived from a single autoimmune mouse
Mark J. Shlomchik;Ann H. Aucoin;David S. Pisetsky;Martin G. Weigert.
Proceedings of the National Academy of Sciences of the United States of America (1987)
Genetic and Structural Evidence for Antigen Selection of Anti-DNA Antibodies
M Z Radic;M Weigert.
Annual Review of Immunology (1994)
Content-aware image restoration: pushing the limits of fluorescence microscopy.
Martin Weigert;Uwe Schmidt;Tobias Boothe;Andreas Müller.
Nature Methods (2018)
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