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Microscopy refers to any method used to acquire images of nearby objects at resolutions that greatly exceed the resolving ability of the unaided human eye. Object visualization may be mediated by light or electron beams using optical or magnetic lenses respectively, or through the use of a physical scanning probe that measures one of a wide range of different sample characteristics.
We created DELiVR, a deep-learning pipeline for 3D brain-cell mapping that is trained with virtual reality-generated reference annotations. It can be deployed via the user-friendly interface of the open-source software Fiji, which makes the analysis of large-scale 3D brain images widely accessible to scientists without computational expertise.
The sensing of bitter taste results from the complex interplay of many chemical cues and a range of receptors. It emerges that this complexity might be built-in even at the level of individual receptors.
A non-common-path interferometric scheme enables holographic detection of single proteins of mass 90 kDa and estimation of single-protein polarizability.
Super-resolution imaging of reference and target structures enables precise determination of the labeling efficiency of high-affinity binding proteins in cells for improved quantitative assessment of protein organization at the single-molecule level.
Material properties prediction from a given microstructure is important for accelerated design but a comprehensive methodology is lacking. Here, a multi-method machine learning approach is utilized to understand the processing-structure-property relationship for differently processed porous materials.
We created DELiVR, a deep-learning pipeline for 3D brain-cell mapping that is trained with virtual reality-generated reference annotations. It can be deployed via the user-friendly interface of the open-source software Fiji, which makes the analysis of large-scale 3D brain images widely accessible to scientists without computational expertise.
The sensing of bitter taste results from the complex interplay of many chemical cues and a range of receptors. It emerges that this complexity might be built-in even at the level of individual receptors.
A non-common-path interferometric scheme enables holographic detection of single proteins of mass 90 kDa and estimation of single-protein polarizability.
A method for imaging the production of blood cells in the bones of mice has revealed the organization of cell lineages, both in a steady state and in response to stressors, such as bleeding and infection.
Artificial intelligence is used to automate the synthesis of single molecules using the tip of a scanning probe microscope, as well as to extract chemical information from these reactions.