The BX3 microscope systems from Olympus are designed to maximise the quality of fluorescence images captured as part of life-science research projects.
The BX63 system is able to handle day-to-day applications and can also meet complex needs such as the rapid deconvolution of fluorescent Z-stack images.
This approach is said to be particularly useful for imaging thicker samples at high magnification, such as tissues and cells.
Deconvolution removes the out-of-focus blur from each image in the Z-stack to improve clarity and increase the precision of downstream analyses.
This can only be accurately achieved if the distance between the Z-stack images is stringently controlled.
Therefore, the fully automated BX63 frame employs a high-precision focusing mechanism adjusted using the nosepiece, rather than the stage, which increases system stability and maximises Z-resolution.
When combined with the Cellsens software suite and deconvolution solution module, the rapid creation of accurate deconvoluted fluorescent images is only a few clicks away, Olympus said.
Image deconvolution is a tool used in life-science research that removes out-of-focus blur and allows the user to create images in which every detail is clearly resolved.
The technique is said to be particularly useful when investigating cellular organelles or thick samples at high magnification as these conditions reduce the depth of field and exacerbate the blurring effect of out-of-focus light.
To achieve this without the use of a confocal microscope requires accurate Z-position information, high frame stability, quality optics and complex software algorithms.
For this reason, the BX63 frame is fully automated to facilitate precise control of sample movement and focal position.
To make deconvolution a useful tool in life-science research, it needs to be fast and easy to carry out.
Using Cellsens software the BX63 can be intuitively controlled, making it simple to plan and perform experiments.
The deconvolution solution module creates sharp images that allow researchers to extract as much information as possible from an experiment, including structures, iso-surfaces and projections (via the included Voxel Viewer).