pyDHM

pyDHM provides numerical algorithms for reconstructing amplitude and phase images in Digital Holographic Microscopy (DHM) across in-line, slightly off-axis, telecentric, and non-telecentric optical configurations.

Key Features:

• Numerical Processing Algorithms: An extensive set of algorithms for reconstructing both amplitude and phase images across diverse optical DHM setups.
• Phase-Shifting Approaches: Implements phase-shifting techniques suitable for in-line and slightly off-axis systems to improve holographic reconstruction accuracy.
• Phase Compensation: Supports phase compensation for telecentric and non-telecentric systems to address optical aberrations and alignment effects.
• Propagation Algorithms: Includes three propagation algorithms for numerical focusing of complex amplitude distributions applicable to DHM and digital holography (DH).

Scientific Applications:

• Biological imaging: Enables extraction of quantitative phase and amplitude information for microscopic structural and dynamic studies.
• Materials science: Provides phase and amplitude reconstructions for characterization of microstructures and thickness or refractive-index variations.
• Optical metrology: Enables quantitative phase measurements for surface profiling and optical system characterization.

Methodology:

Numerical reconstruction of amplitude and phase using phase-shifting approaches, phase compensation for telecentric and non-telecentric systems, and three propagation algorithms for numerical focusing; validated with numerical simulations and experimental holograms.