We are closely monitoring the situation with COVID-19 (coronavirus) and following the guidance of the Centers for Disease Control and Prevention (CDC) and federal, state and local health authorities. Learn more about the measures we have put in place.
Nikon NIS-Elements Denoise.ai Software: utilizing deep learning to denoise confocal data
Noise is a fundamental component of confocal images, a result of discreet digital sampling of continuously emitting photons from samples. The contribution of noise to image quality (signal-to-noise ratio) increases as the signal decreases as a square-root function. Using a trained neural network, we use artificial intelligence to remove the shot noise component from confocal image data, allowing an increase in image quality and the ability to acquire dimmer samples at faster rates. NIS-Elements software’s Denoise.ai deploys this trained network for live or post-acquisition processing.
Application of Patterned Illumination Using a DMD for Optogenetic Control of Signaling
Digital micromirror devices (DMDs) are powerful tools for photostimulation applications, including photoconversion and optogenetic manipulation, owing to their robust ability to produce novel illumination patterns with high spatiotemporal resolution. In this Application Note we showcase recent work describing how DMD technology integrated into a Nikon system can be applied toward light-gated optogenetic control of intracellular signaling.
Hardware Triggering: Maximizing Speed and Efficiency for Live Cell Imaging
Live cell imaging experiments now require higher speeds and more data throughput than ever before. Nikon Instruments has robust tools that enable hardware triggering of imaging devices in microscopy via direct signaling between hardware. This minimizes delays, synchronizes devices, and reduces the exposure of specimens to light. This Application Note explains how Nikon’s NIS-Elements hardware triggering workflow operates, and details its benefits for common time-lapse acquisition routines.
Robotic Microscopy with the Nikon Ti2 for High-Content Analysis Applications
Robotic Microscopy—a combination of high-content screening methods—enables multivariate experimental approaches with large cell populations and member-level sensitivity. Here we explore how the new Nikon Ti2 line of inverted research microscopes is uniquely suited to Robotic Microscopy applications, focusing on work utilizing induced pluripotent stem cells (iPSCs) as disease models in drug screening.