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Record W3214061813 · doi:10.26874/jkkes.v15i2.151

PENGGUNAAN KUTEKS SEBAGAI ALTERNATIF MOUNTING MEDIA PADA PEMBUATAN PREPARAT JARINGAN

2021· article· id· W3214061813 on OpenAlexaboutno aff
Erick Khristian

Bibliographic record

VenueJurnal Kesehatan Kartika · 2021
Typearticle
Languageid
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsnot available
Fundersnot available
KeywordsHaematoxylinEosinMicroscope slideMaterials scienceMicroscopePathologyMedicineStaining

Abstract

fetched live from OpenAlex

Mounting media is one of the important components in making tissue slides. Mounting media serves to cover the tissue on the slide to protect it from damage and also creates a refractive index between the tissue and objective lens approach, so that it can be seen clearly when observed using a microscope. Mounting media commonly used in the laboratory for tissue slide include entelan, Canada balsam and DFX. The aim of this research is to find an alternative mounting media that is cheap, easy to obtain and has a value comparable to the commonly used mounting media. The study used various organs of the liver, kidney, testes and brain stained with Haematoxylin Eosin. The analysis used is descriptive analysis by comparing the quality of the tissue slides using different mounting media, that is entelan and nail polish. The test parameters to see the quality of the results from the use of mounting media are the contrast of the tissue slides, the details of the nucleus and the brightness of the cytoplasm. The results of the study showed comparable values ​​for tissue slide contrast, nucleus detail and the brightness of the cytoplasm for all the organs made. It is advisable to use other stains to ensure that the use of nail polish can be used as a mounting media in the laboratory

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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