Onboard Science Instrument Autonomy for the Detection of Microscopy
Biosignatures on the Ocean Worlds Life Surveyor
- URL: http://arxiv.org/abs/2304.13189v2
- Date: Fri, 19 Jan 2024 01:23:50 GMT
- Title: Onboard Science Instrument Autonomy for the Detection of Microscopy
Biosignatures on the Ocean Worlds Life Surveyor
- Authors: Mark Wronkiewicz, Jake Lee, Lukas Mandrake, Jack Lightholder, Gary
Doran, Steffen Mauceri, Taewoo Kim, Nathan Oborny, Thomas Schibler, Jay
Nadeau, James K. Wallace, Eshaan Moorjani, Chris Lindensmith
- Abstract summary: The quest to find extraterrestrial life is a critical scientific endeavor with civilization-level implications.
The lack of a precise definition of life poses a fundamental challenge to formulating detection strategies.
We describe two OSIA implementations developed as part of the Ocean Worlds Life Surveyor prototype instrument suite at the Jet Propulsion Laboratory.
- Score: 2.526702791640305
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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 10,000x 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 Worlds 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.
Related papers
- How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities [46.671834972945874]
We propose a vision of leveraging advances in AI to construct virtual cells.
We discuss desired capabilities of such AI Virtual Cells, including generating universal representations of biological entities.
We envision a future where AI Virtual Cells help identify new drug targets, predict cellular responses to perturbations, as well as scale hypothesis exploration.
arXiv Detail & Related papers (2024-09-18T02:41:50Z) - AI techniques for near real-time monitoring of contaminants in coastal waters on board future Phisat-2 mission [3.0049721990828084]
This article describes the opportunities and issues for the contaminants monitoring on the Phisat-2 mission.
The specific characteristics of this mission, with the tools made available, will be presented.
Preliminary promising results are discussed and in progress and future work introduced.
arXiv Detail & Related papers (2024-04-30T14:25:32Z) - SatBird: Bird Species Distribution Modeling with Remote Sensing and
Citizen Science Data [68.2366021016172]
We present SatBird, a satellite dataset of locations in the USA with labels derived from presence-absence observation data from the citizen science database eBird.
We also provide a dataset in Kenya representing low-data regimes.
We benchmark a set of baselines on our dataset, including SOTA models for remote sensing tasks.
arXiv Detail & Related papers (2023-11-02T02:00:27Z) - ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab [67.24684071577211]
The challenge of replicating research results has posed a significant impediment to the field of molecular biology.
We first curate a comprehensive multimodal dataset, named ProBio, as an initial step towards this objective.
Next, we devise two challenging benchmarks, transparent solution tracking and multimodal action recognition, to emphasize the unique characteristics and difficulties associated with activity understanding in BioLab settings.
arXiv Detail & Related papers (2023-11-01T14:44:01Z) - Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine
Learning for Anomaly Detection [1.8434042562191815]
We advocate the application of machine learning (ML) techniques for anomaly (novelty) detection to exoplanet transit spectra.
We demonstrate the feasibility of two popular anomaly detection methods on a large public database of synthetic spectra.
arXiv Detail & Related papers (2023-08-15T07:19:54Z) - Efficient Real-time Smoke Filtration with 3D LiDAR for Search and Rescue
with Autonomous Heterogeneous Robotic Systems [56.838297900091426]
Smoke and dust affect the performance of any mobile robotic platform due to their reliance on onboard perception systems.
This paper proposes a novel modular computation filtration pipeline based on intensity and spatial information.
arXiv Detail & Related papers (2023-08-14T16:48:57Z) - SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft
Feature Detection [0.0]
Real-time, automated spacecraft feature recognition is needed to pinpoint the locations of collision hazards.
New algorithm SpaceYOLO fuses a state-of-the-art object detector YOLOv5 with a separate neural network based on human-inspired decision processes.
Performance in autonomous spacecraft detection of SpaceYOLO is compared to ordinary YOLOv5 in hardware-in-the-loop experiments.
arXiv Detail & Related papers (2023-02-02T02:11:39Z) - Interstellar Object Accessibility and Mission Design [3.43233681228116]
Interstellar objects (ISOs) are fascinating and under-explored celestial objects.
This paper will discuss the accessibility of and mission design to ISOs with varying characteristics.
arXiv Detail & Related papers (2022-10-26T18:49:43Z) - Beyond Low Earth Orbit: Biological Research, Artificial Intelligence,
and Self-Driving Labs [0.8855198354664937]
Space biology research aims to understand fundamental effects of spaceflight on organisms.
Bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life.
arXiv Detail & Related papers (2021-12-22T05:18:26Z) - Towards Robust Monocular Visual Odometry for Flying Robots on Planetary
Missions [49.79068659889639]
Ingenuity, that just landed on Mars, will mark the beginning of a new era of exploration unhindered by traversability.
We present an advanced robust monocular odometry algorithm that uses efficient optical flow tracking.
We also present a novel approach to estimate the current risk of scale drift based on a principal component analysis of the relative translation information matrix.
arXiv Detail & Related papers (2021-09-12T12:52:20Z) - Batch Exploration with Examples for Scalable Robotic Reinforcement
Learning [63.552788688544254]
Batch Exploration with Examples (BEE) explores relevant regions of the state-space guided by a modest number of human provided images of important states.
BEE is able to tackle challenging vision-based manipulation tasks both in simulation and on a real Franka robot.
arXiv Detail & Related papers (2020-10-22T17:49:25Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.