Corporate Banner
Satellite Banner
Informatics
Scientific Community
 
Become a Member | Sign in
Home>News>This Article
  News
Return

Olympus Announces Major cellSens Software Release

Published: Tuesday, July 17, 2012
Last Updated: Monday, July 16, 2012
Bookmark and Share
cellSens 1.7 offers multi-well imaging, HDR, 2D deconvolution, real-time control and more.

Olympus has announced a new release of its powerful and flexible cellSens software (now version 1.7), offering a range of new benefits that allow any user to generate expert results, regardless of experience level.

These include the brand new ‘Well Navigator’ Solution, which opens up a new world of flexible, multi-well imaging experiments.

cellSens 1.7 also offers High Dynamic Range (HDR) imaging for the perfect exposure of challenging samples, 2D deconvolution for maximizing image clarity and a new database model for streamlining the management of large data repositories with many users.

The software now supports additional models of high-sensitivity cameras and is compatible with the Olympus Real Time Controller (RTC), which is especially powerful when performing high-end methodologies such as Total Internal Reflection Fluorescence (TIRF).

Olympus cellSens 1.7 is the key element that blends together Olympus frames, cameras and high-quality optics to form a complete microscopy system that is both powerful and effortless to control.

A range of easy-to-use tools helps users to get the best out of their life science samples, without the need for extensive expertise.

For example, when working with challenging samples that simultaneously contain very light and dark staining, the HDR mode can bring out all the details in the sample with just one click.

The new 2D deconvolution tool also improves images by quickly applying a true de-convolution on a single image, without the need for acquiring a Z-stack, for crystal clear images of samples stained with multiple fluorochromes.

This latest release also supports the new optional ‘Well Navigator’ Solution, for the rapid and intuitive set-up of multi-well imaging studies.

The system can meet the needs of all users with customizable pre-sets for a wide range of plate formats and panoramic imaging of each well.

As focusing is an issue when moving across large multi-well plates this new Solution works seamlessly with the Olympus ZDC focus compensation unit, which can automatically maintain perfect focus without any need for user intervention.

When studying fast dynamic processes a high level of acquisition accuracy is a must for reliable quantitative analysis.

For these situations cellSens 1.7 supports a dedicated real-time processor that facilitates advanced imaging via microsecond synchronization of the camera, light source and filter units.

The new cellSens 1.7 database has also been redesigned to provide centralized data storage management, optimized for multi-user access.

Large groups, or even different institutions, can effortlessly collaborate by securely sharing research data, while maintaining quick and easy access through customizable databases.

There are also a number of user interface enhancements in cellSens 1.7, including the ability to use existing images to set the microscope system to the same acquisition settings, ensuring consistent analysis across many different samples.

Furthermore, the new ‘Dark Skin mode’ reduces monitor brightness when performing fluorescent imaging, while maintaining clear coloured icons for intuitive ease-of-use.

In combination, the wide range of new benefits offered by this new software release makes cellSens ideal for serving a broad range of life science users, allowing anyone to generate expert results with the minimum of effort.


Further Information
Access to this exclusive content is for Technology Networks Premium members only.

Join Technology Networks Premium for free access to:

  • Exclusive articles
  • Presentations from international conferences
  • Over 2,500+ scientific posters on ePosters
  • More than 3,800+ scientific videos on LabTube
  • 35 community eNewsletters


Sign In



Forgotten your details? Click Here
If you are not a member you can join here

*Please note: By logging into TechnologyNetworks.com you agree to accept the use of cookies. To find out more about the cookies we use and how to delete them, see our privacy policy.

Related Content

Olympus America Inc. and Caris Diagnostics Partner to Unveil New Pathology Reporting Tool
Olympus EndoWorks is a robust, web-based information management solution that spans all stages of GI and pulmonary patient care.
Monday, December 19, 2011
Scientific News
Changing the Biological Data Visualisation World
Scientists at TGAC, alongside European partners, have created a cutting-edge, open source community for the life sciences.
Searching Big Data Faster
Theoretical analysis could expand applications of accelerated searching in biology, other fields.
Imaging Software Could Speed Breast Cancer Diagnosis
Technology could improve access to diagnostic services in developing countries.
Data Mining DNA For Polycystic Ovary Syndrome Genes
A new Northwestern Medicine genome-wide association study of PCOS – the first of its kind to focus on women of European ancestry – has provided important new insights into the underlying biology of the disorder.
Firefly Protein Enables Visualization of Roots in Soil
A new imaging tool from a team led by Carnegie’s José Dinneny allows researchers to study the dynamic growth of root systems in soil, and to uncover the molecular signaling pathways that control such growth.
UEA Research Could Help Build Computers From DNA
New research from the University of East Anglia could one day help build computers from DNA.
Viral Comparisons
ORNL team applies genomics expertise to analyze, map virus sequence database.
Preserving Fleeting Digital Information with DNA
A team has demonstrated that DNA they encapsulated can preserve information for at least 2,000 years, and they’re now working on a filing system to make it easier to navigate.
TGAC Leads Development to Diminish Threat to Vietnam’s Most Important Crop
Advanced bioinformatics capabilities for next-generation rice genomics in Vietnam to aid precision breeding.
Mass Extinctions Can Accelerate Evolution
A computer science team at The University of Texas at Austin has found that robots evolve more quickly and efficiently after a virtual mass extinction modeled after real-life disasters such as the one that killed off the dinosaurs.
Scroll Up
Scroll Down
SELECTBIO

Skyscraper Banner
Go to LabTube
Go to eposters
 
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
2,500+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
3,800+ scientific videos
Close
Premium CrownJOIN TECHNOLOGY NETWORKS PREMIUM FREE!