Detection of target molecules, such as proteins, antibodies, or specific DNA sequences, is critical in medical laboratory science. Commonly used assays rely on tagging the target molecules with fluorescent probes. These are then fed to high-sensitivity detection systems. Such systems typically consist of a photodetector or camera and use time-resolved measurements that require sophisticated and expensive optics. Magnetic modulation biosensing (MMB) is a novel, fast, and sensitive detection technology that has been used successfully to detect viruses such as Zika and SARS-CoV-2. While this powerful tool is known for its high analytical and clinical sensitivity, the current signal-processing method for detecting the target molecule and estimating its dose is based on time-resolved measurements only. To improve the MMB-system performance, we propose here a novel signal processing algorithm that uses both temporally and spatially resolved measurements. We show that this combination significantly improves the sensitivity of the MMB-based assay. To evaluate the new method statistically, we performed multiple dose responses of Human Interleukin 9 (IL -8) on different days. Compared to standard time-resolved methods, the new algorithm provides a 2-3 fold improvement in detection limit and a 25% improvement in quantitative resolution.

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