IXplore SpinSR SoRa + ScanR (AI)
Super Resolution Confocal Live Cell Imaging combined with High-Content Imaging System with Deep Learning AI
Feature Highlights
Spinning disk confocal with new SoRa disk and dedicated Olympus optics for unmatched super resolution performance
Patented Olympus super resolution (OSR) algorithm - down to 120 nm
Fast Imaging – Live display of samples and prolonged cell viability in time lapse imaging
Multimodal imaging – Widefield, Confocal and Super Resolution with one click
Deep imaging – Improved brightness and accurate 3D reconstruction with silicone lenses
High-Content Imaging with ScanR Acquisition platform
Improved Analysis with Deep-learning Artificial Intelligence
SYSTEM DESCRIPTION
IXplore SpinSR
Designed for live cell imaging with 120nm resolution, the Olympus IXplore SpinSR super resolution imaging system balances speed, resolution, and efficiency in a single, flexible platform.
The high-sensitivity model with SoRa disk achieves brighter super resolution imaging with less photodamage than conventional Yokogawa CSU-W1.
Researchers can observe fine details and dynamics of cellular structures and processes with the ability to easily switch between super resolution, confocal, and widefield imaging. The systems advanced confocal technology enables researchers to capture super resolution images with excellent clarity.
IX83 inverted microscope
Modular IX83 microscope frame with two built-in optical layers (2-deck version)
The IX83 inverted microscope is offered with the following motorized components:
Integrated z-drive with max. speed of 3mm/s and minimum step size of 10 nm
6-position revolving nosepiece
8-position fluorescence filter turret (to mount filter cubes and DIC analyzer cube)
Motorized fluorescence shutter
Motorized long-working distance condenser
Higher efficiency experiments with easy operation
Widefield, confocal, and super resolution in 1 system
Fluorescence channels, confocal mode, and super resolution mode are switchable just by 1 click on cellSens software.
Intuitive multi-dimensional imaging setting with graphical experiment manager on cellSens SW
Yokogawa CSU-W1 spinning disk confocal scanner
Yokogawa CSU-W1 with SoRa disk
SoRa disk provides 3 times brighter super resolution imaging compared to the standard 50μm pinhole disk.
A microlens is equipped to each pinhole, which provides the equivalent effect to narrow a confocal pinhole with avoiding the brightness loss.
Improved brightness contributes to clearer super resolution imaging, and fine structures can be accurately captured.
Lower laser power preserves natural environments for the live cells or reduced sample damage.
SoRa Disk
Olympus’ unique Super Resolution technology (OSR)
Real-Time and Multicolor Super Resolution
OSR can provide120 nm resolution.
High-speed online processing enables the real-time display of super resolution images (not achievable by other computational super resolution techniques that require postprocessing before displaying a super resolution image)
Super Resolution: Live (online) or via Postprocessing (offline)
Even illumination across the entire field of view
Olympus dedicated 2-position magnification changer
Confocal mode (1X) and super resolution mode (3.2X) can be switched with a simple click
Includes unique optic elements designed to obtain homogeneous illumination OSR
Deconvolution dedicated to OSR
Deconvolution algorithm dedicated for OSR is prepared on cellSens Deconvolution license
Control concept: Extended Real Time Controller (RTCE)
The Real-time controller offers perfect synchronization of different devices, integrating single accessories as a whole system.
Perfect synchronization of the camera with illumination ensures that the sample is illuminated only when a signal is actually captured, thus minimizing bleaching and phototoxicity
Control of external devices with sub-ms accuracy, allows for utilizing the full speed of camera and LED light source in ratiometric and multicolor imaging
External Unix controller. Camera Trigger port, 3 TTL out ports, 4 Dig I/O ports and 2 analog out ports for 3rd party devices. ODB port for control of Olympus ODB devices. Additional 16 analog and 16 digital output ports
OBIS Solid state laser lines (4 lasers)
Laser combiner system – laser platform with mounted 4 laser heads featuring 4 laser lines modulated directly by the real-time controller
With offered configuration 4 lasers are mounted:
V – 405 nm: Near-Violet laser diode, 50 mW
B – 488 nm: Blue laser diode, 100 mW
Y – 561 nm: Green/Yellow laser, 100 mW
R – 640 nm: Red laser diode, 100 mW
sCMOS camera
Hamamatsu ORCA Flash 4.0 V3 (Camera Link)
2048 x 2048 pixels, 6.5μm x 6.5μm cell size
Full resolution frame rate 100 f/s (Camera Link)
Peak Quantum Efficiency 82%
Higher sensitivity than GaAsP or HyD detector (QE 45%)
OLYMPUS OBJECTIVES
New X LINE Objectives
Conventional objectives often require you to make a tradeoff between these three important parameters: numerical aperture, image flatness, or chromatic correction.
Olympus’ X Line high-performance series are built with ultra-thin lenses to help you achieve all three benefits in one objective.
Image flatness
Expanded flatness for uniform quality consistently high image quality across the entire field of view helps you create precisely stitched images of large specimens, such as whole tissue sections Chromatic correction
Enhanced chromatic correction for exceptional color reproducibility Our X Line objectives provide broad chromatic aberration correction from 400–1000 nm
Numerical aperture
Improved numerical aperture for excellent image quality objective with a higher numerical aperture can capture higher resolution, brighter images, so you can see more of your sample minimizing
phototoxicity/photobleaching during fluorescence live cell imaging experiments.
X-Line air objectives included in the present offer:
UPLXAPO4x NA 0.16 WD 16 mm
UPLXAPO20x NA 0.80 WD 0.60 mm
High-Resolution objectives
Olympus has developed unique plan-correctad, high munerical aperture objectives for Super-Resolution observation:
UPLAPO60xO-HR NA 1.50 WD 0.11 mm
UPLAPO100xO-HR NA 1.50 WD 0.12 mm
Silicone immersion objectives
Olympus silicone immersion objectives are designed for deep tissue observation.
Observation depth is negatively impacted by spherical aberration caused by refractive index mismatch.
The refractive index of silicone oil (ne=1.40) is close to that of living cells or cultured tissue slices (ne=1.38), enabling super resolution imaging of internal cellular structures at tens of
micrometers in depth with minimal spherical aberration.
Olympus can offer a full range of silicone lenses:
UPLSAPO30xS NA 1.05 WD 0.8 mm
UPLSAPO40xS NA 1.25 WD 0.3 mm
UPLSAPO60xS NA 1.30 WD 0.3 mm
UPLSAPO100xS NA 1.35 WD 0.2 mm
TruFocus technology: Z-drift compensation system
During long-term time-lapse observations, temperature changes around the microscope cause thermal focus drift, resulting in a loss of focus on the target. The laser based z-drift
compensation system (785 nm, extremely low laser intensity) automatically corrects for thermal drift during time lapse imaging
Real time Z-drift compensation
Capable of both “continuous” and “ One-shot” autofocus
Focus search unique function with 1 click!
Focus position is corrected according to cover slip reference
Z-drift compensation functionality fully implemented with application software
CELLVIVO, incubator system with CO2 enrichment system for IX83
Environmental chamber incubator for Olympus IX83 inverted microscope system
Black, light shielding incubator housing
LED illumination inside the incubator housing
Complete with Temperature Control unit and Heater
Temperature sensor to measure in sample dish
CO2 enrichment set
Excellent access to the microscope stage and easy to mount and disassemble from the inverted IX83 microscope
ScanR – Acquisition & Analysis with AI
The scanR screening station combines the modularity and flexibility of a microscope-based setup with the automation, speed, and throughput of high-content screening demands. Well-suited for standard assays and assay development, the modular design makes the scanR station adaptable to R&D lab applications or multiuser environments.
ScanR Benefits:
1. Versatility
Most powerful combination of dedicated widefield or confocal high-content screening system and open high-end research microscope
2. Workflow
Automated acquisition, online analysis and assay setup – all in parallel.
3. Acquisition
High-speed and high-throughput acquisition with exceptional imaging and unmatched degree of sample flexibility.
4. Analysis
Unique cytrometric data analysis, gating and classification via data-linked scatter plots and histograms
5. Life cell solution
Superior environmental control, reliable drift compensation and analysis of kinetic parameters 6. ScanR AI Deep Learning Solution
ScanR AI uses Convolutional Neural Networks (CNNs) for feature detection
Examples of Cellular Screening Assays
Cell counting Cell-cycle analysis Rare-event analysis Gene expression Cell-array screens Cell proliferation Intracellular transport and
Translocation
Multicolor assays Micronuclei and comet assays Protein localization and
colocalization
Automated-FISH analysis Promyelocytic leukemia (PML) body assay
Cell migration Fluorescence analysis in tissue sections
Bacterial and viral infection assays
Multi-level Acquisition
Based on an initial prescan, the scanR analysis software can identify all the potential objects of interest. In an automated workflow, the analysis results are used to selectively scan the objects of interest in a second, targeted screen. Typical scenarios where multilevel acquisition excels are large- area samples with few cells requiring a high-resolution or single-cell events
High-Speed Deconvolution
The fast and easy-to-use algorithms accurately remove out-of-focus blur and background and can reveal essential structural details, even for very blurry images. The scanR system’s deconvolution is a helpful tool for in-depth analysis requiring high-resolution structural details.
scanR AI – The Power of Deep Learning
Olympus’ optimized deep-learning technology based on a dedicated convolutional neural network architecture ensures that the learned analysis protocol is much more powerful and versatile than it would be possible with any competing machine learning approach.
Self-learning microscopy opens up new horizons in high-content analysis. Applications range from image segmentation tasks not possible before to quantitative analysis of extremely low signal levels, reduction of complexity in staining protocols, label-free analysis and many more