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Record W2016797015 · doi:10.1118/1.1998402

TU‐D‐J‐6B‐03: Physics and Applications of Preclinical Micro‐Ultrasound Imaging

2005· article· en· W2016797015 on OpenAlexaffabout
F. Stuart Foster

Bibliographic record

VenueMedical Physics · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUltrasound biomicroscopyMedical physicsSoftware portabilityMolecular imagingComputer scienceMedicineUltrasoundBiologyRadiology

Abstract

fetched live from OpenAlex

Bioresearch in functional genomics is poised to make major contributions to our understanding of normal development and human disease. This promise will, in part, rely on the development of new micro‐imaging technologies to provide quantitative longitudinal assessment of morphological and functional development of normal and abnormal tissues. In addition, imaging tools will need to be further refined to enable high throughput phenotypic assessment of the rapidly escalating numbers of targeted and random mouse mutations. This presentation will focus on the development of high frequency (20 to 70 MHz) ultrasound biomicroscopy (UBM) for mouse imaging. While UBM does not provide molecular specificity, it has the advantage of low cost, rapid imaging speed, portability and high resolution (30–100 microns). The physics of high frequency ultrasound will be reviewed and the latest developments in instrumentation will be presented. Applications of 2 and 3D imaging to mouse cardiovascular assessment, cancer and ocular diseases will be described. Recent advances in 3D UBM imaging now permit the volumes of growing experimental tumors to be assessed with relative ease. Examples of tumor growth studies will be presented. In particular, a human melanoma (MeWo) and a model of retinoblastoma will be examined. Further analysis of Doppler and other flow related data offers insight to microvascular development and its alteration during treatment. This is particularly relevant to angiogenesis and antiangiogenic treatments. As an example of antiangiogenic therapy, a study of DC101 (ImClone Systems), a monoclonal anti‐VEGFR2 antibody will be presented. The authors wish to acknowledge the financial support of the Canadian Institutes for Health Research, the National Cancer Institute of Canada with funds from the Terry Fox Foundation, the Ontario Research and Development Challenge Fund, and VisualSonics Inc. FSF also discloses a financial interest in VisualSonics Inc.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.007
GPT teacher head0.302
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations0
Published2005
Admission routes2
Has abstractyes

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