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Digital coherent transmission features a very large transmission bandwidth and has played a main role in core optical transmission networks. With the progress of semiconductor technologies, practical coherent transceivers with rates over 100 Gbaud are becoming feasible. With such advances, the transceiver components must have lower power consumption and lower costs, and it becomes important to know how each component contributes to the overall transmission performance. Here, to decompose the effects of noise factors in high-baud-rate DP-16QAM transmissions, we used the theoretical relationship between the bit error rate (BER) and noise-to-signal ratio (NSR) and performed linear analyses. The NSR could be decomposed into individual noise contributions according to dependences on the inverse signal and local photocurrents. The obtained parameters were shown to be useful for predicting required optical signal-to-noise ratio (ROSNR) characteristics.
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http://dx.doi.org/10.1364/OE.502007 | DOI Listing |
Cytometry A
August 2025
Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Flow cytometers are powerful tools for bioanalytical applications, yet new systems that promise better measurements are continuously being introduced as sensors and other technologies advance. One such advancement by NIST was the recently demonstrated a serial microcytometer that enables unique capabilities for uncertainty quantification on a per-object basis. In an effort to benchmark and improve the measurement capabilities of the serial microcytometer, we found limitations to the quantitative comparison of instruments using conventional metrics and methods.
View Article and Find Full Text PDFJ Multidiscip Healthc
July 2025
School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Background: Little is known about the relationship between syndromes in Traditional Chinese Medicine (TCM) and chronic diseases coded by Western Medicine (WM). TCM hospitals where both WM and TCM are practiced offer an opportunity to assess this relationship. TCM, based on syndrome differentiation and treatment, may aid in guiding treatment and predicting length of stay and healthcare costs.
View Article and Find Full Text PDFBroadband and highly sensitive mid-infrared (MIR) light detection and imaging play a crucial role in environmental monitoring, gas detection, biomedical applications, and national defense security. However, the detection of high-frequency, long-distance dynamic targets with MIR thermal emission is still limited by the long response time of commercial detectors and intense environmental noise. Here, we demonstrate a noise-tolerance intra-cavity enhanced broadband MIR upconversion system by counting the upconverted lights through a high-sensitivity single photon detector.
View Article and Find Full Text PDFCommun Biol
February 2025
Institute for Systems Biology, Seattle, WA, USA.
The identification of microglia subtypes is important for understanding the role of innate immunity in neurodegenerative diseases. Current methods of unsupervised cell type identification assume a small noise-to-signal ratio of transcriptome measurements to produce well-separated cell clusters. However, identification of subtypes can be obscured by gene expression noise, which diminishes the distances in transcriptome space between distinct cell types, blurs boundaries, and reduces reproducibility.
View Article and Find Full Text PDFMed Image Anal
October 2024
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China. Electronic address:
Recently, large pretrained vision foundation models based on masked image modeling (MIM) have attracted unprecedented attention and achieved remarkable performance across various tasks. However, the study of MIM for ultrasound imaging remains relatively unexplored, and most importantly, current MIM approaches fail to account for the gap between natural images and ultrasound, as well as the intrinsic imaging characteristics of the ultrasound modality, such as the high noise-to-signal ratio. In this paper, motivated by the unique high noise-to-signal ratio property in ultrasound, we propose a deblurring MIM approach specialized to ultrasound, which incorporates a deblurring task into the pretraining proxy task.
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