InnoScan and InnoQuant
Extend Your Microarray Workflow
From Arrays to Tissues : A Unified Vision of Quantitative Biology
Why Add InnoQuant to Your InnoScan Workflow?
Complementary Technologies for Complementary Insights
Complementary Technologies for Complementary Insights
InnoScan provides high-precision microarray scanning for expression profiling and molecular diagnostics. InnoQuant complements it by enabling quantitative, whole-slide fluorescence imaging of tissue sections.
Together, they offer both molecular-level data (InnoScan) and spatial context (InnoQuant) — essential for translational and systems biology.
Same Core Philosophy and Expanded Capabilities
InnoQuant shares the engineering DNA of InnoScan: precision optics, robust acquisition, and reliable quantification.
But it extends your analytical capacity with a 4th UV-channel, and customized sample holder solutions available — in a fully automated imaging system.
Workflow Continuity and Compatibility
InnoQuant outputs standardized, multi-resolution TIFF files compatible with common image analysis tools such as QuPath, Fiji, or HALO.
Multichannel images captured with InnoQuant can easily be analysed in MAPIX software. Teams already accustomed to InnoScan’s streamlined workflows will experience a natural transition to InnoQuant without additional training overhead.
Accessible, Scalable Tissue Imaging
Unlike manual fluorescence microscopes, InnoQuant is fully automated: no exposure time to set, no focus points adjustment, no post-processing.
Teams with experience in digital microarray scanning can operate InnoQuant with minimal adaptation.
Together, InnoScan and InnoQuant form a comprehensive and coherent platform for advanced translational research.
A short guide to InnoQuant
Innoscan 710 | Innoscan 910 | Innoscan 1100 | Innoquant | |
---|---|---|---|---|
Number of simultaneous color channels | 1 or 2 | 2 | 3 | 4 |
Laser wavelengths |
532 nm 635 nm |
532 nm 635 nm |
488 nm 532 nm 635 nm |
375 nm 488 nm 561 nm 635 nm |
Laser power adjustment | discrete | discrete | discrete | continuous |
Content-based focus | ||||
Smallest pixel size | 3 µm | 1 µm | 0.5 µm | 0.5 µm |
Coverslip friendly | ||||
7-pos emission filter wheel | ||||
Customizable slide holder | ||||
AI-guided sample detection |