The infrared laser briefly melts the thermoplastic cap so selected cells adhere to it, while the ultraviolet laser creates precise cuts that define or separate tissue regions. These functions serve different purposes: infrared energy supports cell collection, and ultraviolet energy provides spatial control over boundaries. Together, they allow researchers to isolate chosen populations from complex tissue sections.
Spatial information shows where selected cells originated within the tissue rather than treating the entire section as one mixture. This distinction matters because complex tissues contain different cell populations whose molecular properties may vary. By linking DNA, RNA, proteins, or other biomolecules to defined tissue locations, the system helps reveal differences that bulk analysis could obscure.
The choice depends on whether the main need is direct cell adherence, precise tissue separation, or both. Infrared capture transfers selected cells to the thermoplastic cap, whereas ultraviolet cutting defines or separates regions before or during isolation. Combining the two approaches provides greater control when target cells must be distinguished from neighboring tissue structures.
Researchers first visualize the tissue section microscopically and identify the cells or region of interest. They then use ultraviolet laser cutting when boundaries or separation are needed, followed by brief infrared melting to attach the selected material to a thermoplastic cap. The captured material can subsequently be used for molecular or cellular analysis of its biomolecules.
Three components are central: microscopic visualization, the infrared laser capture function, and the ultraviolet laser cutting function. Visualization guides selection, infrared melting enables adhesion to the thermoplastic cap, and ultraviolet cutting provides precise regional separation. Their coordinated use connects what researchers see in the tissue with the biological material collected for downstream analysis.
The platform is particularly useful when tissue heterogeneity makes whole-section analysis difficult to interpret. Applications described for the system include tumor biology, developmental processes, neuroscience, and biomarker discovery. In each setting, researchers can focus molecular or cellular analysis on selected populations, helping distinguish signals associated with particular cells or spatially defined tissue regions.
Captured regions can provide DNA, RNA, proteins, or other biomolecules for molecular and cellular analysis. The resulting data are associated with the selected cell population or tissue location, supporting comparisons among distinct regions rather than only an overall tissue average. This design is valuable for investigating cell-specific differences, tissue heterogeneity, and candidate biomarkers.