阵列断层扫描工作流程，用于使用扫描电子显微镜有针对性地采集体积信息

Executive Industry Relevance

Array tomography in SEM enables precise localization of target structures within large sample volumes, reducing unnecessary data acquisition and improving efficiency in discovery workflows. This approach supports rapid identification of rare cellular events, enhancing predictive confidence in target validation and mechanistic de-risking. The method facilitates translational continuity by preserving samples for repeated imaging and enabling scalable, reproducible analysis across discovery stages.

Strategic Applications in Biopharma R&D

Early Discovery & Target Validation

• Scientific Value: Enables interrogation of therapeutic hypotheses through precise localization of target areas in serial sections.
• Operational Value: Reduces data acquisition time by focusing imaging on relevant fractions of sample volume.
• Predictive Value: Supports biological de-risking by providing nanometer-resolution structural insights for organelle-level questions.

Screening & Assay Development

• Scientific Value: Facilitates preparation of validated biological systems for downstream SEM imaging workflows.
• Operational Value: Enables array sectioning on wafers for standardized, repeatable sample preparation.
• Scalability: Supports creation of section libraries ready for repeated imaging and automated acquisition.

Translational & Preclinical Research

• Translational Continuity: Conserves array tomography samples during imaging, allowing reuse for validation studies.
• Mechanistic De-risking: Provides quantitative structural data on mitochondria, nuclei, and microvilli to inform preclinical decisions.
• Predictive Confidence: Enables alignment of imaging data with disease-relevant systems through high-resolution parameter screening.

Pipeline & Workflow Integration

The array tomography workflow integrates into the discovery continuum by enabling early target localization, supporting lead identification through targeted high-resolution imaging, and informing preclinical validation via reproducible structural analysis.

• Discovery Biology: Supports hypothesis testing and pathway clarification by identifying rare events such as mitotic divisions in tissue samples.
• Screening: Delivers assay readiness through low-resolution overview imaging to localize areas of interest before high-resolution acquisition.
• Analytics: Generates quantitative dependent variable measurements via mosaic maps and aligned stacks for comparative condition analysis.
• Translational Research: Connects discovery to preclinical continuity through rendered sections that support biomarker alignment and structural validation.
• Enterprise Reuse: Positions the method as a reusable capability via section libraries stored in tightly-closed boxes and oven-stabilized for repeated imaging.

Operational & Enterprise Impact

• Scientific Value: Predictive confidence in target validation through nanometer-resolution imaging of cellular and structural details.
• Operational Value: Standardization and reproducibility via automated SEM imaging protocols and section finder tools.
• Strategic Value: Better go/no-go decisions by reducing late-stage biological risk through early structural de-risking.
• Portfolio Impact: Risk-adjusted prioritization enabled by efficient acquisition of volume information from large sample surfaces.

Implementation Considerations

• Requires expertise in ultramicrotome operation, diamond knife handling, and wafer preparation techniques.
• Depends on instrumentation including ultramicrotome, plasma cleaner, syringe-based humidity control, and SEM with optical camera.
• Necessitates cross-team standardization of section thickness (50–100 nm), cutting speed (6–1 mm/s), and water basin protocols.
• Involves adaptation considerations for varying block size, tissue homogeneity, and resin type affecting ribbon straightness.
• Includes practical limitations such as the need for manual ribbon detachment using eyelash tips and water retraction timing for delicate samples.

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