New insights into the Precambrian fossil record using correlative electron and ion beam microscopy
Bibliographic record
Abstract
Earth's rock record holds great potential for decoding the origin and early diversification of life on our planet. However, the interpretation of the Precambrian (older than ~541 million years ago) fossil record is fraught with difficulties. These include: the fragmentary nature of the sedimentary rock record with large periods of time unrepresented and certain habitats under‐represented; and the nature of the organisms, being microscopic, morphologically simple and often only subtly different from co‐occurring non‐biological organic material. Distinguishing between true signs of life and abiotic artefacts requires analytical techniques with excellent spatial resolution in two and three dimensions, in order to accurately analyse key features of putative cells such as cell wall ultrastructure, biochemistry, and interaction of cell walls with the minerals that have fossilised them [1]. Likewise, distinguishing different grades of life (for example, simple prokaryotes versus more complex eukaryotes) requires similar techniques, in order to identify putative multi‐cellularity and specific types of cell contents and cell wall architecture. We here demonstrate how a protocol combining focused ion beam (FIB) milling, SEM, TEM and nano‐scale secondary ion mass spectrometry (SIMS) can reveal unprecedented nanometer to micrometer scale details of Precambrian fossilised organisms, providing more robust biosignatures for both prokaryotes and eukaryotes for future studies on Earth or other planets. FIB milling was used to prepare ultrathin (c. 100 nm) wafers from standard geological thin sections for TEM analysis, plus slightly thicker wafers (c. 150‐200 nm) that could be used for both TEM and NanoSIMS analysis. The latter meant that both TEM and NanoSIMS data could be collected from a single candidate microfossil: TEM data included ChemiSTEM elemental mapping of major elements, STEM‐EELS analysis of the bonding and structure of organic material, and electron diffraction to identify mineral phases; NanoSIMS data included targeted analysis of trace elements in organic material (e.g., N, S, P) and in the fossilising mineral phases. Analysis of FIB‐milled wafers counteracts the problems previously associated with surface analysis techniques such as NanoSIMS (i.e. surface contamination and polishing effects). FIB‐milling was also combined with SEM imaging (3D slice and view) in order to obtain accurate 3D visualisations of candidate microfossils. Data will be presented from three geological formations that play an important role in our understanding of the origin and evolution of early life on Earth: 1, The 1878 Ma Gunflint Formation of Canada, containing an iconic suite of diverse microfossils used as a benchmark for high quality preservation of early life in marine environments [2]; 2, The 1000 Ma Torridon Group of northwest Scotland (Fig. 1) that is renowned for exceptional three‐dimensional preservation of both prokaryotes and eukaryotes in phosphate and clay minerals in a terrestrial (lake) setting [3]; 3, The 850 Ma Bitter Springs Formation of central Australia that shows exquisite microfossil preservation (including putative cell contents) in micro‐quartz [4].
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".