• Patented multibrand filters with incredible separation of 7 fluorochrome classes

    No spectral unmixing or computational post processing

SpectraSplit® 7 maximizes the capacity of your microscope

SpectraSplit® 7 are patented filter sets that specifically separates seven of the most commonly used fluorochrome classes in immunohistochemistry. No additional software and no computational spectral unmixing are required. Hence, SpectraSplit® 7 immediately empowers your microscope with seven independent color channels that each generates crystal clear images. Importantly, you do not need to be a fluorochrome expert or microscope guru to produce 7-color images – just stain your samples and visualize with SpectraSplit® 7.

Your Choice of Fluorochromes

The SpectraSplit® 7 filter sets are highly efficient in separating the emission signals of seven different fluorochrome classes, with spillover between channels being less than 0.5%. As a result, high-contrast images are generated without the need for spectral unmixing or any other bleed-through corrections. Post-processing techniques such as bleedthrough corrections can be time consuming, require single-labeled controls, and may increase the risk of over- or undercorrections. In contast, SpectraSplit® 7 directly blocks bleed-through noise and therefore does not require any post processing.

Your Choice of Fluorochromes

The SpectraSplit® 7 filter sets are highly efficient in separating the emission signals of seven different fluorochrome classes, with spillover between channels being less than 0.5%. As a result, high-contrast images are generated without the need for spectral unmixing or any other bleed-through corrections. Post-processing techniques such as bleedthrough corrections can be time consuming, require single-labeled controls, and may increase the risk of over- or undercorrections. In contast, SpectraSplit® 7 directly blocks bleed-through noise and therefore does not require any post processing.

Produce sharp and clean images without spectral unmixing

Superior separation of seven fluorochrome classes

SpectraSplit® 7 is fully compatible with commonly used fluorochromes, such as AlexaFluor® dyes, as well as the classic FITC/Cy3/Cy5/Cy7 dyes and many of the OpalTM dyes. This provides a wide range of options for fluorochromes when setting up a 7-color IHC.

Fluorochromes compatible with SpectraSplit® 7

Fluorochromes compatible with SpectraSplit® 7

Microscopes and light sources

SpectraSplit® 7 is designed to work with both standard and scanning fluorescence microscopes. It is compatible with various lighting sources including pE-800 and pE-4000 from CoolLED, X-Cite NOVEM from Excelitas, and the new SPECTRA X Light Engine from Lumencor.

Hardware

SpectraSplit® 7 contains four filter sets. Each filter set includes one excitation filter, one emission filter (25 mm in diameter), and one dichroic mirror (25.5 x 36.0 x 1 mm).

Set 1: Triple-band set (DAPI/488/750)
Set 2: Double-band set (440/647)
Set 3: Single-band set (Cy3)
Set 4: Single-band set (594)

We’ve imaged over 2,500 highly-multiplexed slides with the SpectraSplit 7 filters in the past year and the data in every single sample set is crisp and clean. Our users do a large amount of RNAScope staining utilizing the Opal dye set and it’s been a game changer for us to have the SpectraSplit filters that are precisely matched to these dyes. The imaged samples have been a wide range of tissue sections and cultured cells and none of my other microscopes, both filter-based and with spectral detection, match the Opals as well as SpectraSplit 7.

Christina Baer,
Director, SCOPE Imaging Facility,
UMass Chan Medical School,
Worcester MA

Our company Offspring Biosciences supports project teams in the pharma industry with histology-based contract services. Kromnigons SpectraSplit filters have allowed us to significantly expand our capability to perform multiplexed immunofluorescence analyses with excellent separation between the fluorophores. We can highly recommend them.

Anders Dahlstrand,
Managing Director at Offspring
Bioscience

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