The quest for early detection of retinal disease: 3D CycleGAN-based translation of optical coherence tomography into confocal microscopy [0.03%]
基于3D CycleGAN的眼底疾病早期检测研究：光学相干层析成像到共聚焦激光扫描检眼镜图像的转换
Xin Tian,Nantheera Anantrasirichai,Lindsay Nicholson et al.
Xin Tian et al.
Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal imaging, offering distinct advantages and limitations. In vivo OCT offers rapid, noninvasive imaging but can suffer from clarity issues and motion artifacts, ...
Topology-based segmentation of 3D confocal images of emerging hematopoietic stem cells in the zebrafish embryo [0.03%]
基于拓扑的斑马鱼胚胎新生造血干细胞三维共焦图像分割
G Nardi,L Torcq,A A Schmidt et al.
G Nardi et al.
We develop a novel method for image segmentation of 3D confocal microscopy images of emerging hematopoietic stem cells. The method is based on the theory of persistent homology and uses an optimal threshold to select the most persistent cyc...
Deep-blur: Blind identification and deblurring with convolutional neural networks [0.03%]
深层盲模糊核识别与去模糊卷积神经网络
Valentin Debarnot,Pierre Weiss
Valentin Debarnot
We propose a neural network architecture and a training procedure to estimate blurring operators and deblur images from a single degraded image. Our key assumption is that the forward operators can be parameterized by a low-dimensional vect...
Deep-learning-based image compression for microscopy images: An empirical study [0.03%]
基于深度学习的显微图像压缩：一项实证研究
Yu Zhou,Jan Sollmann,Jianxu Chen
Yu Zhou
With the fast development of modern microscopes and bioimaging techniques, an unprecedentedly large amount of imaging data is being generated, stored, analyzed, and shared through networks. The size of the data poses great challenges for cu...
Bridging the gap: Integrating cutting-edge techniques into biological imaging with deepImageJ [0.03%]
走向桥梁：使用deepImageJ将前沿技术整合到生物成像中
Caterina Fuster-Barceló,Carlos García-López-de-Haro,Estibaliz Gómez-de-Mariscal et al.
Caterina Fuster-Barceló et al.
This manuscript showcases the latest advancements in deepImageJ, a pivotal Fiji/ImageJ plugin for bioimage analysis in life sciences. The plugin, known for its user-friendly interface, facilitates the application of diverse pre-trained conv...
Seeing or believing in hyperplexed spatial proteomics via antibodies: New and old biases for an image-based technology [0.03%]
抗体视角下的高维空间蛋白质组学图像技术：新旧偏见不容忽视
Maddalena M Bolognesi,Lorenzo Dall&#x;Olio,Amy Maerten et al.
Maddalena M Bolognesi et al.
Hyperplexed in-situ targeted proteomics via antibody immunodetection (i.e., >15 markers) is changing how we classify cells and tissues. Differently from other high-dimensional single-cell assays (flow cytometry, single-cell RNA sequencing),...
Reconstructing interpretable features in computational super-resolution microscopy via regularized latent search [0.03%]
基于正则化潜在搜索的计算超分辨率显微镜可解释特征重建
Marzieh Gheisari,Auguste Genovesio
Marzieh Gheisari
Supervised deep learning approaches can artificially increase the resolution of microscopy images by learning a mapping between two image resolutions or modalities. However, such methods often require a large set of hard-to-get low-res/high...
Tommi Muller,Adriana L Duncan,Eric J Verbeke et al.
Tommi Muller et al.
We revisit the topic of common lines between projection images in single-particle cryo-electron microscopy (cryo-EM). We derive a novel low-rank constraint on a certain 2n × n matrix storing properly scaled basis vectors for the common lin...
TomoNet: A streamlined cryogenic electron tomography software pipeline with automatic particle picking on flexible lattices [0.03%]
TomoNet：一种具有灵活晶格上自动颗粒挑选的低温电子断层扫描软件流水线
Hui Wang,Shiqing Liao,Xinye Yu et al.
Hui Wang et al.
Cryogenic electron tomography (cryoET) is capable of determining in situ biological structures of molecular complexes at near-atomic resolution by averaging half a million subtomograms. While abundant complexes/particles are often clustered...
GoldDigger and Checkers, computational developments in cryo-scanning transmission electron tomography to improve the quality of reconstructed volumes [0.03%]
GoldDigger和Checkers：计算在低温扫描透射电子层析成像技术中的应用及其改善重建体积质量的作用
Genevieve Buckley,Georg Ramm,Sylvain Trépout
Genevieve Buckley
In this work, we present a pair of tools to improve the fiducial tracking and reconstruction quality of cryo-scanning transmission electron tomography (STET) datasets. We then demonstrate the effectiveness of these two tools on experimental...