Low Cost FPGA Implementation of Fresnel Transform for Digital Holography

Chen, Huan‐Yuan; Shih, S.L.; Hwang, Wen-Jyi; Wu, Ju‐Hui; Cheng, Chau Jern

doi:10.11159/eee16.129

Cited by 1 publication

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If motile or fluorescent particles are present within the chamber, some of them will be near the central image plane long enough to be detected and characterized. Future missions incorporating HELM or FAME could also opt to include a specialized FPGA-based preprocessor to provide reconstructed imagery (Chen et al 2016) if additional sensitivity to significantly out-of-focus planes is required.…”

Section: Reconstruction Versus Raw Imagerymentioning

confidence: 99%

Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor

Wronkiewicz,

Lee,

Mandrake

et al. 2024

Planet. Sci. J.

View full text Add to dashboard Cite

The quest to find extraterrestrial life is a critical scientific endeavor with civilization-level implications. Icy moons in our solar system are promising targets for exploration because their liquid oceans make them potential habitats for microscopic life. However, the lack of a precise definition of life poses a fundamental challenge to formulating detection strategies. To increase the chances of unambiguous detection, a suite of complementary instruments must sample multiple independent biosignatures (e.g., composition, motility/behavior, and visible structure). Such an instrument suite could generate 10,000× more raw data than is possible to transmit from distant ocean worlds like Enceladus or Europa. To address this bandwidth limitation, Onboard Science Instrument Autonomy (OSIA) is an emerging discipline of flight systems capable of evaluating, summarizing, and prioritizing observational instrument data to maximize science return. We describe two OSIA implementations developed as part of the Ocean World Life Surveyor (OWLS) prototype instrument suite at the Jet Propulsion Laboratory. The first identifies life-like motion in digital holographic microscopy videos, and the second identifies cellular structure and composition via innate and dye-induced fluorescence. Flight-like requirements and computational constraints were used to lower barriers to infusion, similar to those available on the Mars helicopter, “Ingenuity.” We evaluated the OSIA's performance using simulated and laboratory data and conducted a live field test at the hypersaline Mono Lake planetary analog site. Our study demonstrates the potential of OSIA for enabling biosignature detection and provides insights and lessons learned for future mission concepts aimed at exploring the outer solar system.

show abstract

Section: Reconstruction Versus Raw Imagerymentioning

confidence: 99%