Brief review of image denoising techniques Fan, Linwei; Zhang, Fan; Fan, Hui ...
Visual computing for industry, biomedicine and art,
07/2019, Letnik:
2, Številka:
1
Journal Article
Recenzirano
Odprti dostop
With the explosion in the number of digital images taken every day, the demand for more accurate and visually pleasing images is increasing. However, the images captured by modern cameras are ...inevitably degraded by noise, which leads to deteriorated visual image quality. Therefore, work is required to reduce noise without losing image features (edges, corners, and other sharp structures). So far, researchers have already proposed various methods for decreasing noise. Each method has its own advantages and disadvantages. In this paper, we summarize some important research in the field of image denoising. First, we give the formulation of the image denoising problem, and then we present several image denoising techniques. In addition, we discuss the characteristics of these techniques. Finally, we provide several promising directions for future research.
Fluorescence‐based imaging in the second near infrared window (NIR‐II, 1000–1700 nm) is extensively used in both fundamental scientific research and clinical practice, owing to its advances of high ...sensitivity and high spatiotemporal resolution with increasing tissue penetration depths. Among several NIR‐II fluorophores, recent accomplishments in biocompatible lanthanide‐based luminescent nanomaterials have aroused great interest of researchers. This progress report summarizes recent progress in controlled synthesis of lanthanide‐based NIR‐II nanomaterials and their state‐of‐the‐art in NIR‐II biomedical imaging and biosensing applications. In addition, challenges and opportunities for this kind of novel NIR‐II nanoprobes are also discussed.
This progress report provides an overview of lanthanide‐based nanomaterials for the state‐of‐the‐art biomedical imaging and biosensing applications in the second near‐infrared (NIR‐II) window. Typical mechanisms and synthetic strategies of these novel NIR‐II nanomaterials are summarized first, followed by deeply discussing the emerging challenges and opportunities for the future.
Intratumor heterogeneity is a common characteristic across diverse cancer types and presents challenges to current standards of treatment. Advancements in high-throughput sequencing and imaging ...technologies provide opportunities to identify and characterize these aspects of heterogeneity. Notably, transcriptomic profiling at a single-cell resolution enables quantitative measurements of the molecular activity that underlies the phenotypic diversity of cells within a tumor. Such high-dimensional data require computational analysis to extract relevant biological insights about the cell types and states that drive cancer development, pathogenesis, and clinical outcomes. In this review, we highlight emerging themes in the computational analysis of single-cell transcriptomics data and their applications to cancer research. We focus on downstream analytical challenges relevant to cancer research, including how to computationally perform unified analysis across many patients and disease states, distinguish neoplastic from nonneoplastic cells, infer communication with the tumor microenvironment, and delineate tumoral and microenvironmental evolution with trajectory and RNA velocity analysis. We include discussions of challenges and opportunities for future computational methodological advancements necessary to realize the translational potential of single-cell transcriptomic profiling in cancer.
PDF
