A mid-infrared high-performance spectropolarimetry filter based on dual-mode independent modulation.

Spectropolarimetry detection provides multi-dimensional accurate information with broad applications from biomedicine to remote sensing. Existing methods for simultaneously obtaining spectra and polarizations are either large and complex systems or miniaturized devices with too low spectral resolution or poor polarization selectivity, which inherently generate cross-talk of substantial information. Here, we propose a compact and single-chip integrated high-performance mid-infrared spectropolarimetry filter (SPF), whose narrowband spectral and polarization characteristics can be independently modulated by different polarization modes.

Identification of acute myeloid leukemia by infrared difference spectrum of peripheral blood.

Acute myeloid leukemia (AML) is a high mortality and recurrence rates hematologic malignancy. Thus, whatever early detection or subsequent visit are both of high significance. Traditional AML diagnosis is conducted via peripheral blood (PB) smear and bone marrow (BM) aspiration.

Determination of total phosphorus concentration in water by using visible-near-infrared spectroscopy with machine learning algorithm.

Total phosphorus (TP) content is a crucial evaluation parameter for surface water quality assessment, which is one of the primary causes of eutrophication. High-accuracy, fast-speed approach for the determination of low-concentration TP in water is important. We proposed a rapid, highly sensitive, and pollution-free approach that combines spectroscopy with a machine learning algorithm we improved called synergy interval Extra-Trees regression (siETR) to determine TP concentration in water.

Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern.

Previous studies have highlighted CRISPR-based nucleic acid detection as rapid and sensitive diagnostic methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we reported an optimized CRISPR-Cas12a diagnostic platform for the safe and rapid detection of SARS-CoV-2 variants of concern (VOCs). This platform, which was referred to as CALIBURN-v2, could complete the diagnosis on extracted RNA samples within 25 min in a closed-lid reaction mode and had 100-fold increase in detection sensitivity in comparison with previous platforms.