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Record W1604240847 · doi:10.1002/0471142727.mb3003s109

Label‐Free Biomedical Imaging of Lipids by Stimulated Raman Scattering Microscopy

2015· article· en· W1604240847 on OpenAlexaff
Prasanna Venkatesh Ramachandran, Ayse Sena Mutlu, Meng C. Wang

Bibliographic record

VenueCurrent Protocols in Molecular Biology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpectroscopy Techniques in Biomedical and Chemical Research
Canadian institutionsBC Research (Canada)
FundersNational Institute on AgingHoward Hughes Medical Institute
KeywordsMicroscopyRaman scatteringRaman spectroscopyChemistryBiophysicsNuclear magnetic resonanceMaterials scienceBiologyMedicineOpticsPathologyPhysics

Abstract

fetched live from OpenAlex

Advances in modern optical microscopy have provided unparalleled tools to study intracellular structure and function, yet visualizing lipid molecules within a cell remains challenging. Stimulated Raman Scattering (SRS) microscopy is a recently developed imaging modality that addresses this challenge. By selectively imaging the vibration of chemical moieties enriched in lipids, this technique allows for rapid imaging of lipid molecules in vivo without the need for perturbative extrinsic labels. SRS microscopy has been effectively employed in the study of fat metabolism, helping uncover novel regulators of lipid storage. This unit provides a brief introduction to the principle of SRS microscopy, and describes methods for its use in imaging lipids in cells, tissues, and whole organisms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.427
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2015
Admission routes1
Has abstractyes

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