Use of hyperspectral imaging for label-free decoding and detection of biomarkers

Abstract

Detecting the existence of biomarkers is one of the most important issues in molecular diagnosis. This Letter presents a label-free decoding and detection method for biomarker tests based on hyperspectral imaging and interferometry. The decoding and detection results were extracted from a single hyperspectral image with different spectrum-to-thickness reconstructing algorithms, which made the testing procedure extremely fast and simple. The coding capacity of this method is more than 400, and the detection sensitivity can reach 2 ng/mm2 without fluorescent labeling.