Hydrogel RT-LAMP: Tuberculosis Diagnostic Performance Data

79 samples were used to establish diagnostic thresholds for a hydrogel-based TB assay, achieving 93.6% sensitivity and 100% specificity. The dataset, authored by Jidong Wang and last updated in April 2026, contains performance metrics for a portable diagnostic method that quantifies CXCL10 mRNA. It includes validation results from 91 independent samples, showing 91.2% agreement with clinical diagnosis.

Use Cases

• Benchmarking diagnostic assay sensitivity and specificity based on the reported 93.6% and 100% metrics.
• Training or validating machine learning models for medical image analysis based on the convolutional neural network mentioned for fluorescence signal quantification.
• Evaluating field-deployable diagnostic platforms based on the described portable smartphone imaging and heater setup.
• Analyzing the correlation between biomarker copy count and diagnostic outcome based on the dynamic range of 10^1 to 10^5 copies/test.

Strengths

• Reported high diagnostic performance with 93.6% sensitivity and 100% specificity in a 79-sample cohort.
• Validation on an independent cohort of 91 samples showing 91.2% agreement with clinical diagnosis.
• Assay demonstrated a wide dynamic range, supporting quantification from 10 to 10^5 copies per test.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 20.6 KB, indicating limited scope.

Provenance

Source

Jidong Wang via figshare.

Collection Method

Likely contains experimental results from the development and validation of a hydrogel RT-LAMP assay for tuberculosis.

Time Range

The data appears to be from the study period of the described assay, but specific dates are not provided.

Freshness

Last updated 2026-04-17 07:29:29; freshness should be verified.

Geography

Geographic coverage of the sample cohorts is not specified in the provided metadata.