A second image of the sample is generated using detector data from a second microscope detector system of a different modality, and then the first labeled image is used to automatically label regions of the second image with corresponding composition information.Warschauer Reinier Louis...
it is difficult to be sufficiently descriptive using words. Images can help in achieving the accuracy needed for a scientific manuscript. For example, it may not be enough to say, “The surface had nanometer scale features.” In this case, it would be ideal to provide a microscope image. ...
masterdir(config variable): contains subfolders (specified in configtypedirs) which then contains subfolders for each biological replicate (format: 1 letter, 2 numbers, egs02). These then contain the output of the Olympus microscope (ProcessXXXXXfolders (1 per position, containing the .ets image ...
Unfortunately, these models rely heavily on annotated data for training, which again emphasizes the problem of fast accumulation of annotated SEM images39. Moreover, models that have been trained on images from a particular electron microscope may lose performance on images from another electron ...
Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images CIMSA. 2005 IEEE international conference on computational intelligence for measurement systems and applications, IEEE (2005), pp. 96-101 View in ScopusGoogle Scholar [36] Supardi N., Mashor M., Har...
et al. Functional imaging of colonic mucosa with a fibered confocal microscope for real-time in vivo pathology. Clin. Gastroenterol. Hepatol. 5, 1300–1305 (2007). Article PubMed PubMed Central Google Scholar Goetz, M. & Kiesslich, R. Advances of endomicroscopy for gastrointestinal physiology...
microscope_image_quality milking_cowmask minigrid_basics mir_uai24 misinfo_provenance missing_link ml_debiaser mobilebert model_pruning moe_models_implicit_bias moe_mtl moew mol_dqn moment_advice motion_blur mpi_extrapolation mqm_viewer muNet mucped22 mucped23 muller multi_annotato...
In fluorescence microscopy, co-localization refers to the spatial overlap between different fluorescent labels in cells. The degree of overlap between two or more channels in a microscope may reveal a physical interaction or topological functional interc
plates are taken to monitor the progress in cell aggregation, we utilize the automation and scheduling capabilities of theKNIME Server. The KNIME Server’s scheduling functionality allows us to execute our spheroid detection workflow several times a day whenever fresh microscope images have been taken...
The development of AI tools for arthropod classification started with a focus on particular taxa and/or the identification of museum specimens with a homogeneous image background. For example, pictures taken of arthropod wings in controlled settings (i.e., under the microscope) can identify several...