1. Novel technology, devices, methods, models
    • Computational microscopy, including Fourier ptychography
    • Compressive and information-efficient sensing
    • Lens-free microscopy
    • Phase and birefringence microscopy
    • Nonlinear microscopy
    • Raman microscopy
    • UV microscopy
    • Multispectral microscopy
    • Global-health-related technologies (e.g., cell-phone-enabled low-resource-compatible pathology and diagnostics)
  2. Machine learning approaches and algorithms
    • Computational modeling
    • Diagnostic algorithms
    • Prognostic algorithms
    • Algorithms that combine optical microscopy with clinical and/or genetic data in patients
    • Machine learning, including neural networks and other configurations for diagnostic, prognostic, and high-dimensional data analysis
    • Image processing and analytics
  3. Enabling reagents and labeling technologies
    • Optical barcoding
    • Ultrabright, ultra-sharp optical labels
    • Rapid fresh-tissue labeling methods
    • novel contrast agents, reporters, probes, molecules
  4. Clinical analytics and microfluidics
    • Fluorescence correlation spectroscopy (FCS)
    • Optics in lab-on-a-chip, organ-on-a-chip, and microfluidic devices
    • Plate-reader technologies
    • FRAP, FLIM, and related methods
  5. Challenges in translation
    • From bench to market - scale up while lowering cost
    • Standardization of designs and processes
    • Design of validation studies
    • Understanding real world obstacles