This study presents a robust methodology for the three-dimensional (3D) volumetric reconstruction and morphological characterization of native Chilean pollen grains using a lens-free Digital In-line Holographic Microscopy (DLHM) system. Utilizing a 532 nm laser point-source configuration and a 3.45 m pixel pitch CMOS sensor , we achieved a geometric magnification of 50x, resulting in an effective lateral resolution of approximately 69 nm at the object plane. The complex wavefronts of (chamomile), (hazel), and (hemlock) were numerically reconstructed via the Kirchhoff-Helmholtz transform to generate high-fidelity 3D refractive index maps. Biophysical parameters were extracted with nanometric precision, with volumes ranging from m to m. Morphological quantification identified as the least spherical species () due to its characteristic echinate (spiny) exine, while exhibited the highest sphericity index of . These results demonstrate that the label-free retrieval of “digital fingerprints” provides a scalable alternative for automated melissopalynology and viability assessment, filling critical geographic data gaps in South American biodiversity hotspots.

生成讲解博客的中文版本

生成AI智能校验的中文版本