関連する実験動画

Updated: May 12, 2026

Milk Collection in the Rat Using Capillary Tubes and Estimation of Milk Fat Content by Creamatocrit
07:38

Milk Collection in the Rat Using Capillary Tubes and Estimation of Milk Fat Content by Creamatocrit

Published on: December 16, 2015

12.5K

ブライックス・リフレクトメーターの診断精度

Áine C O'Brien1, Marianne Farish2, Emma M Baxter2

  • 1School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.

The Veterinary record
|August 21, 2025
PubMed
まとめ

ブライックス・リフレクトメーターは,豚の乳牛乳中の免疫グロブリンG (IgG) を正確に推定します. このツールは,ブタの乳母乳の品質を評価するために,信頼性の高い農場内測定を提供します.

キーワード:
ブリックスコロストラム評価する免疫グロブリンGペンサイドテスト豚

さらに関連する動画

Real-Time Analysis of Bioenergetics in Primary Human Retinal Pigment Epithelial Cells Using High-Resolution Respirometry09:16

Real-Time Analysis of Bioenergetics in Primary Human Retinal Pigment Epithelial Cells Using High-Resolution Respirometry

Published on: February 3, 2023

2.6K
Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone07:41

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

3.9K

関連する概念動画

Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...