Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light.

Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources. This study proposes a spectral convolutional neural network (SCNN) with matter meta-imaging. The optical convolutional layer is implemented by integrating very large-scale and pixel-aligned spectral filters on CMOS image sensor.

An immunochromatographic test for serological diagnosis of scrub typhus.

A fluorescent immunochromatographic test (FM-ICT) was developed for rapid detection of anti-Orientia tsutsugamushi antibodies in serum samples. The FM-ICT was constructed based on the dual-antigen sandwich method. Truncated 56 kDa outer membrane protein of O.

Comparison of catheter-directed thrombolysis with and without percutaneous mechanical thrombectomy for subacute iliofemoral deep vein thrombosis.

Objective: To evaluate and compare the treatment efficacy and safety between catheter-directed thrombolysis monotherapy and catheter-directed thrombolysis combined with percutaneous mechanical thrombectomy for patients with subacute iliofemoral deep vein thrombosis.

Methods: We conducted a retrospective analysis of a total of 74 subacute iliofemoral deep vein thrombosis patients who underwent catheter-directed thrombolysis with and without percutaneous mechanical thrombectomy. Patients treated with catheter-directed thrombolysis combined with percutaneous mechanical thrombectomy (percutaneous mechanical thrombectomy group,  = 30) or catheter-directed thrombolysis monotherapy (catheter-directed thrombolysis group,  = 44) were included.