BitSlide™ for Multiplex Slide Image Visualization

As a company focused on advanced tissue imaging, we have always worked to provide our clients with access to the most cutting-edge technologies that enable them to easily transform their tissues into large data sets that can be mined for actionable insights. Over the last six years, we have introduced many novel tissue imaging technologies such as our Visikol HISTO reagents and most recently launched our Visikol Multiplex Immunofluorescence approach. Our multiplex tissue imaging approach allows us to expand beyond traditional fluorescent labeling and to achieve >12 labels per single slide while not requiring special equipment, being compatible with all standard antibodies and being easy to validate new labels.

While the technology is able to generate high resolution multiplex images from slides, one of the key challenges that we encountered in developing the approach was how to quickly and easily share the data with clients. The image files for a multiplex data set can be >10GB for each slide which creates challenges for transferring the data and further many of the stakeholders involved with a multiplex project might not have access to the appropriate software to even open the images.

It is for this this reason that we built BitSlide™ which is a cloud-based viewing and sharing platform for all image data sets that allows any researcher to open and visualize their image files in a browser based platform without ever needing to download the files. The platform is encrypted and secure on AWS and enables researchers to more closely work with Visikol throughout a project. This means that clients can easily provide feedback on labeling in real-time and the Visikol research team can quickly work with clients to identify regions of interest for further analysis.

Below is an example of the BitSlide™ platform being used in tandem with the Visikol Multiplex Immunofluorescence approach for a twelve-plex imaging panel that includes CD68, PanCK, CD8, Granzyme B, CD3, Ki67, PDL1, CD45ro, PD-1, MHC-II, CD11b, and CD20.

2022-06-09T08:33:53-05:00Tags: , , |

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