Nouvelles
Nikon introduces the AX and AX R confocal microscope systems, with 8K resolution, world’s largest 25mm field of view, and an advanced suite of Artificial Intelligence (AI)-based tools for accelerating microscopy-based research.
avr. 27, 2021
Nikon Instruments Inc. announces the release of the next generation confocal microscope series, AX and AX R. This new confocal series features a completely re-designed scan head with 8k x 8K resolution*1, ultra-high speed resonant scanning, and world’s largest*2 25mm field of view*3. Combined with a new user-friendly interface and advanced AI-based tools, the AX/AX R confocal series is designed to enable users to acquire data faster, with an unprecedented level of detail and ease.
*1 Galvano scanner.
*2 Among point scanners available on the market as of April 27, 2021, according to research conducted by Nikon.
*3 The diameter of the observable image in a microscope.
Release Overview
Product Name | AX confocal microscope |
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Release Date | Late May, 2021 |
Development Background
As biological research continues to trend toward systems level studies that range from molecules to whole cell populations, tissues, organoids, and even whole organisms, needs for microscopy have been similarly evolving. There is an increasing need to acquire data that is higher-resolution, both spatially and temporally; for a larger range of specimens and with greater throughput.
Nikon’s 10th generation confocal microscope system, the AX/AX R, features improved pixel density, sensitivity, speed, and the world’s largest field of view to meet these needs. A suite of AI-based tools assists users in acquisition, processing and analysis, while the streamlined user interface ensures ease of use. With its modular design, the AX/AX R confocal microscope system easily accommodates multi-modal experiments as well as future expansion to meet evolving research directions.
Main Features
1. Capture more data than ever before with 8K x 8K pixel density and a 25mm field of view
The AX and AX R enables 8192 × 8192 pixel, high-resolution images to be obtained with the world’s largest field of view (25mm). Now, ultrafine details can be easily captured even for large specimens. This feature is available for both inverted4 and upright5 microscope configurations, thereby supporting a wide range of research applications and fields.
In addition, with the AX R’s high-speed resonant scanner users can acquire up to 720 frames per second at 2048 x 16 pixels. High-speed resonant scanning not only enables dynamic events to be easily captured but also reduces the amount of time required to image large, fixed specimens.
*4 ECLIPSE Ti2-E inverted research microscope
*5 ECLIPSE Ni-E motorized upright research microscope
2. Improved specimen viability for longer time-lapse imaging
The AX/AX R features detector units that are twice as sensitive as conventional models6, with a ~30% reduction in dark current noise7. With increased sensitivity and reduced noise, lower illumination power can be used for imaging even dim specimens, minimizing photobleaching and phototoxicity. Combined with high-speed resonant scanning which further decreases exposure time, specimen viability is greatly extended, enabling extreme, long-term time-lapse imaging.
*6 In cases where multi-alkali PMT is selected.
*7 Noise generated by the heat of the sensor itself during long exposures.
3. A simplified, AI-driven user experience
Nikon’s NIS-Elements C imaging software allows users to easily customize the layout and experiment workflow to suit their needs. The new Autosignal.ai tool simplifies confocal acquisition by automatically determining the optimal illumination and detection settings while Denoise.ai removes shot noise from confocal images to enable clearer images with shorter exposure times. AI-based tools for post-acquisition image processing such as Segment.ai makes segmentation of complex structures more efficient and reliable.
Graphical programming tools for both acquisition and analysis provide further flexibility for the user. The optional JOBS module enables complex, non-linear experiments with multiple paths and dimensions to be created with ease, including conditional workflows where subsequent acquisition parameters are based on real-time analysis results.