Optimizing Data Processing for Nanodiamond Based Relaxometry

The nitrogen-vacancy (NV) center in diamond is a powerful and versatile quantum sensor for diverse quantities. In particular, relaxometry (or T1), can be used to detect magnetic noise at the nanoscale. For experiments with single NV centers analysis of data well established. However, due relatively low brightness reproducibility it beneficial biological use ensembles. While increasing number nanodiamond leads more signal, standardized method extract information from still missing. This article uses T1 relaxation curves acquired different concentrations gadolinium ions calibrate optimize entire processing flow, raw extracted T1. bootstrap derive signal ratio (SNR) that quantitatively compared one another. At first, are photoluminescence pulses. work compares integrating their through an optimized window as performed conventionally, fitting known function on it. Fitting decaying relevant value. here three most commonly fit models are, single, bi, stretched exponential. finally investigates effect itself precision result rolling increase time resolution.