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Updated: Mar 23, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

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HueTools: A modular image processing and ML toolkit for quantitative colorimetric assay development.

Prava Sharma¹, David Beery¹, Adrian Crutchfield¹

¹HueDx, Inc., 2929 Arch St, Philadelphia, PA, 19104, USA.

SLAS Technology

|March 21, 2026

Summary

This summary is machine-generated.

HueTools software quantifies paper-based colorimetric assays using smartphone imaging, improving diagnostic accuracy and reproducibility. This accessible, cloud-based system aids in developing low-cost point-of-care diagnostics, especially in resource-limited settings.

Keywords:

Color-correction Colorimetric assay development Interpretable ML Point-of-care testing Smartphone imaging

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Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

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Area of Science:

Biomedical Engineering
Computational Biology
Analytical Chemistry

Background:

Colorimetric assays are low-cost diagnostics but suffer from subjective interpretation and imaging variability.
Smartphone imaging offers accessibility but requires standardization for quantitative analysis.

Purpose of the Study:

To develop HueTools, a software system for quantitative, smartphone-based analysis of paper-based colorimetric assays.
To standardize image capture, perform color correction, and enable predictive modeling of analyte concentrations.

Main Methods:

HueTools integrates a mobile app and web platform for a complete workflow: image acquisition, color calibration (CIELAB space), ROI selection, signal extraction, and statistical analysis.
Utilizes interpretable machine learning for predictive modeling and quantitative metrics (LoB, LoD, LoQ).
Validated with luteinizing hormone (LH) and alanine transaminase (ALT) assays.

Main Results:

HueTools demonstrated reduced human error and improved assay reproducibility.
The system provided quantitative metrics and feedback for assay design optimization.
Enabled seamless transition between field and lab analysis, supporting remote data interpretation.

Conclusions:

HueTools offers a hardware-independent, cloud-based solution for quantitative colorimetric assay development.
Its accessibility, automation, and cross-platform compatibility streamline workflows and minimize costs.
Well-suited for point-of-care diagnostics, particularly in resource-limited environments.