ArticleAstrobiology2017
Digital Holographic Microscopy, a Method for Detection of Microorganisms in Plume Samples from Enceladus and Other Icy Worlds.
Article in Astrobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Digital holographic microscopy for rapid bacteria segmentation and counting in microfluidic cartridges: basic considerations and limitations for diagnostic application.Journal of biomedical optics · 2025Article
- Extant life detection using label-free video microscopy in analog aquatic environments.PloS one · 2025Article
- Quantitative phase imaging based on holography: trends and new perspectives.Light, science & applications · 2024Review
- Noise Filtering Method of Digital Holographic Microscopy for Obtaining an Accurate Three-Dimensional Profile of Object Using a Windowed Sideband Array (WiSA).Sensors (Basel, Switzerland) · 2022Article
- Science Objectives for Flagship-Class Mission Concepts for the Search for Evidence of Life at Enceladus.Astrobiology · 2022Article
- Microscopic Object Classification through Passive Motion Observations with Holographic Microscopy.Life (Basel, Switzerland) · 2021Article
- A Proposed Geobiology-Driven Nomenclature for AstrobiologicalAstrobiology · 2021Article
- The Ladder of Life Detection.Astrobiology · 2018Article
- Could It Be Snowing Microbes on Enceladus? Assessing Conditions in Its Plume and Implications for Future Missions.Astrobiology · 2017Article
- A Community Grows around the Geysering World of Enceladus.Astrobiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detection of extant microbial life on Earth and elsewhere in the Solar System requires the ability to identify and enumerate micrometer-scale, essentially featureless cells. On Earth, bacteria are usually enumerated by culture plating or epifluorescence microscopy. Culture plates require long incubation times and can only count culturable strains, and epifluorescence microscopy requires extensive staining and concentration of the sample and instrumentation that is not readily miniaturized for space. Digital holographic microscopy (DHM) represents an alternative technique with no moving parts and higher throughput than traditional microscopy, making it potentially useful in space for detection of extant microorganisms provided that sufficient numbers of cells can be collected. Because sample collection is expected to be the limiting factor for space missions, especially to outer planets, it is important to quantify the limits of detection of any proposed technique for extant life detection. Here we use both laboratory and field samples to measure the limits of detection of an off-axis digital holographic microscope (DHM). A statistical model is used to estimate any instrument's probability of detection at various bacterial concentrations based on the optical performance characteristics of the instrument, as well as estimate the confidence interval of detection. This statistical model agrees well with the limit of detection of 10
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.