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July 18, 2023
Bruker highlights challenges with using fluorescence microscopy for image acquisition of plants.
July 18, 2023
Multiphoton microscopy (2P) overcomes many of the limitations that conventional microscopy faces by being able to image deeply, quickly, and in 3D โ providing compelling and useful data in a variety of disciplines. A combination of ultra-fast pulsed lasers, lenses with high numerical apertures, and highly sensitive detectors provide fast Z imaging and makes Brukerโs 2P technology a go-to technique for revealing dynamic biological processes deep within living tissues. Here, Bruker summarizes...
July 18, 2023
Here, Bruker investigates the role of microglial cells in tuning neuronal activity using multiphoton microscopy
July 13, 2023
Explore the capabilities of Brukerโs scratch test system and evaluation of a metallic nanofilm on a polymer substrate
July 12, 2023
Explore combining the bright field and fluorescence-based object identification algorithms for cell based assays
July 12, 2023
Explore how live cell imaging allows the study of the dynamics of fluorescently-tagged repair proteins in real time
July 12, 2023
In this application note, Gyros Protein Technologies presents the Gyrolab 2G Generic PK Kit.
July 12, 2023
Explore the capability of real-time label-free cell counting of various cell lines with the Spark Cyto multimode reader
July 11, 2023
Practice Note- Third Circuit Adopts 5:00 PM Filing Deadline- Effective July 1, 2023, the Third Circuit amended its local rules to require all filings, with the exception...
July 11, 2023
In this application note, ZEISS explores the application of machine learning (ML) and image analysis techniques in segmenting metallic inclusions in additive manufactured high-temperature aluminum alloys. The study demonstrates the use of correlative microscopy, combining light and electron microscopy, to train a robust ML system for inclusion characterization. By leveraging ML-based segmentation, inclusions generated during the additive manufacturing process can be accurately identif