Image deconvolution for confocal laser scanning microscopy using constrained total variation with a gradient field

He, Tao; Sun, Yasheng; Qi, Jin; Hu, Jie; Huang, Haiqing

doi:10.1364/ao.58.003754

Cited by 6 publications

(3 citation statements)

References 44 publications

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“…Confocal laser scanning microscopy (CLSM) is a type of high-resolution fluorescence microscopy that generates high-resolution images by superposition of photons emitted from the fluorescence sample and reaching the detector during one exposure period [41].…”

Section: Confocal Laser-scanning Fluorescence Microscopymentioning

confidence: 99%

Nanospermidine in Combination with Nanofenretinide Induces Cell Death in Neuroblastoma Cell Lines

et al. 2022

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A new strategy to cause cell death in tumors might be the increase of intracellular polyamines at concentrations above their physiological values to trigger the production of oxidation metabolites at levels exceeding cell tolerance. To test this hypothesis, we prepared nanospermidine as a carrier for spermidine penetration into the cells, able to escape the polyamine transport system that strictly regulates intracellular polyamine levels. Nanospermidine was prepared by spermidine encapsulation in nanomicelles and was characterized by size, zeta potential, loading, dimensional stability to dilution, and stability to spermidine leakage. Antitumor activity, ROS production, and cell penetration ability were evaluated in vitro in two neuroblastoma cell lines (NLF and BR6). Nanospermidine was tested as a single agent and in combination with nanofenretinide. Free spermidine was also tested as a comparison. The results indicated that the nanomicelles successfully transported spermidine into the cells inducing cell death in a concentration range (150–200 μM) tenfold lower than that required to provide similar cytotoxicity with free spermidine (1500–2000 μM). Nanofenretinide provided a cytostatic effect in combination with the lowest nanospermidine concentrations evaluated and slightly improved nanospermidine cytotoxicity at the highest concentrations. These data suggest that nanospermidine has the potential to become a new approach in cancer treatment. At the cellular level, in fact, it exploits polyamine catabolism by means of biocompatible doses of spermidine and, in vivo settings, it can exploit the selective accumulation of nanomedicines at the tumor site. Nanofenretinide combination further improves its efficacy. Furthermore, the proven ability of spermidine to activate macrophages and lymphocytes suggests that nanospermidine could inhibit immunosuppression in the tumor environment.

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Section: Confocal Laser-scanning Fluorescence Microscopymentioning

confidence: 99%

Nanospermidine in Combination with Nanofenretinide Induces Cell Death in Neuroblastoma Cell Lines

et al. 2022

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“…An additional task that all high resolution imaging approaches bring is in the handling and processing of extremely large data files, the necessity to improve contrast and resolution, remove out of focus signal and correct for animal movement (e.g., breathing) that uses image registration (156). In addition to motion, images can be enhanced by going through image deconvolution processes (189,190). For traditional deconvolution (except for blind deconvolution), it is necessary to first obtain an image of the ideal point spread function of the imaging system.…”

Section: Limitations Of Imaging In Living Organsmentioning

confidence: 99%

Imaging Platelet Processes and Function—Current and Emerging Approaches for Imaging in vitro and in vivo

et al. 2020

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Platelets are small anucleate cells that are essential for many biological processes including hemostasis, thrombosis, inflammation, innate immunity, tumor metastasis, and wound healing. Platelets circulate in the blood and in order to perform all of their biological roles, platelets must be able to arrest their movement at an appropriate site and time. Our knowledge of how platelets achieve this has expanded as our ability to visualize and quantify discreet platelet events has improved. Platelets are exquisitely sensitive to changes in blood flow parameters and so the visualization of rapid intricate platelet processes under conditions found in flowing blood provides a substantial challenge to the platelet imaging field. The platelet's size (∼2 µm), rapid activation (milliseconds), and unsuitability for genetic manipulation, means that appropriate imaging tools are limited. However, with the application of modern imaging systems to study platelet function, our understanding of molecular events mediating platelet adhesion from a single-cell perspective, to platelet recruitment and activation, leading to thrombus (clot) formation has expanded dramatically. This review will discuss current platelet imaging techniques in vitro and in vivo, describing how the advancements in imaging have helped answer/expand on platelet biology with a particular focus on hemostasis. We will focus on platelet aggregation and thrombus formation, and how platelet imaging has enhanced our understanding of key events, highlighting the knowledge gained through the application of imaging modalities to experimental models in vitro and in vivo. Furthermore, we will review the limitations of current imaging techniques, and questions in thrombosis research that remain to be addressed. Finally, we will speculate how the same imaging advancements might be applied to the imaging of other vascular cell biological functions and visualization of dynamic cell-cell interactions.

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“…Numerous endeavors have been made to reduce noise in neuronal images to enhance tracing quality. To maximally 57 restore the signal, various blind and nonblind deconvolution techniques have been developed (Pankajakshan et al 2009;Ben Hadj et al 2013;He et al 2019). These techniques not only require the accurate measurement or estimation of PSF before or during the deconvolution, but also indicate high computational load.…”

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confidence: 99%

NIEND: Neuronal Image Enhancement through Noise Disentanglement

Zhao,

Liu

2023

Preprint

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Motivation: The full automation of digital neuronal reconstruction from light microscopic images has long been impeded by noisy neuronal images. Previous endeavors to improve image quality can hardly get a good compromise between robustness and computational efficiency. Results: We present the image enhancement pipeline named Neuronal Image Enhancement through Noise Disentanglement (NIEND). Through extensive benchmarking on 863 mouse neuronal images with manually annotated gold standards, NIEND achieves remarkable improvements in image quality such as signal-background contrast (40-fold) and background uniformity (78-fold), compared to raw images. Furthermore, automatic reconstructions on NIEND-enhanced images have shown significant improvements compared to both raw images and images enhanced using other methods. Specifically, the average F1 score of NIEND-enhanced reconstructions is 0.88, surpassing the original 0.78 and the second-ranking method, which achieved 0.84. 52% of reconstructions from NIEND-enhanced images outperform all other 4 methods in F1 scores. In addition, NIEND requires only 1.6s on average for processing 256x256x256-sized images, and images after NIEND attain a substantial average compression rate of 1% by LZMA. NIEND improves image quality and optimizes the neuron reconstruction process, providing potential for significant advancements in automated neuron morphology reconstruction of petascale. Availability and Implementation: The study is conducted based on Vaa3D and Python 3.10. Vaa3D is available on GitHub (https://github.com/Vaa3D). The proposed NIEND method is implemented as a Python source, hosted on GitHub along with the testing code and data (https://github.com/zzhmark/neuron-image-denoise-exp). The raw neuronal images of mouse brains can be found at the BICCN Brain Image Library (BIL) (https://www.brainimagelibrary.org).

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Image deconvolution for confocal laser scanning microscopy using constrained total variation with a gradient field

Cited by 6 publications

References 44 publications

Nanospermidine in Combination with Nanofenretinide Induces Cell Death in Neuroblastoma Cell Lines

Nanospermidine in Combination with Nanofenretinide Induces Cell Death in Neuroblastoma Cell Lines

Imaging Platelet Processes and Function—Current and Emerging Approaches for Imaging in vitro and in vivo

NIEND: Neuronal Image Enhancement through Noise Disentanglement

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