Tissue researchers often need to connect whole-slide tissue architecture with cellular-level detail, but capturing both efficiently can be challenging. Whole-tissue views reveal how cells and structures are organized, while closer examination can uncover biomarker expression, cellular morphology, and other features within their spatial context. Slide-based imaging can bridge these levels of information while helping researchers balance imaging area, resolution, and acquisition time.
This application note shows how researchers can efficiently connect tissue architecture with cellular-level information using fluorescence and color brightfield imaging. Examples spanning multichannel fluorescent tissue sections, H&E-stained samples, and tissue microarrays demonstrate how automated image acquisition, autofocus, and ROI-based workflows help focus imaging on the most relevant tissue regions.
Download this application note to discover:
- Fluorescence and color brightfield approaches for examining tissue morphology, biomarker localization, and cellular features within a single imaging workflow
- High-resolution imaging workflows that connect tissue architecture with cellular-level information using automated focus correction and image stitching across large tissue sections
- ROI-based acquisition strategies that focus imaging on tissue-containing regions to reduce acquisition time and avoid imaging nonrelevant areas
- Strategies for capturing both whole-tissue context and high-resolution cellular detail within the same imaging workflow
