Results 81 to 90 of about 9,000,286 (286)

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

CNN and Multi-scale Visual State Space Network for Semantic Segmentation of Remote Sensing Images [PDF]

Jisuanji kexue yu tansuo
Existing methods for semantic segmentation of remote sensing images face significant challenges: convolutional neural network (CNN)-based methods lack remote modeling capability and have limited segmentation efficacy in complex scenes.
LIN Yueni, WANG Xili
doaj   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

DPMB-Net: Dual-Level Perturbation and Multi-Scale Boundary Attention for Semi-Supervised Temporomandibular Joint Segmentation

IEEE Access
Accurate segmentation of the temporomandibular joint (TMJ) disc and condyle from magnetic resonance imaging (MRI) is critical for clinical diagnosis and treatment planning of orofacial disorders.
Xiaoshan Pan, Bin Yao, Jing Guo, Yuzhao Liu, Gongyan Li   +4 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Research on Fault Diagnosis of Rolling Bearing Based on Morlet Wavelet and Scale Space

机车电传动, 2021
Aiming at the difficulty of extracting the early fault features of rolling bearings, a rolling bearing fault diagnosis method based on Morlet wavelet and scale space was proposed.
Maohui WANG, Yong TANG, Haixiang LI, Ping YANG   +3 more
doaj  

Hyperactive ice‐binding proteins stabilize cell membranes and improve resistance to dehydration stress in Caenorhabditis elegans

FEBS Open Bio, EarlyView.
TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose, Kotaro Ozaki, Ryohei Kuriyama, Yuka Ikemoto, Kazuhiro Mio, Yuji C. Sasaki, Tatsuya Arai, Sakae Tsuda, Yoichi Shinkai, Masahiro Kuramochi   +9 more
wiley   +1 more source

Block-based Against Segmentation-based Texture Image Retrieval

, 2010
This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two approaches have been suggested, the multiscale block-based approach and the automatic
Lewis, Paul, Fauzi, Mohammad Faizal Ahmad, Lewis,Paul, Fauzi,Mohammad Faizal Ahmad   +3 more
core   +2 more sources

MSMamba: A Multi-Semantic Mamba Framework for Referring Remote Sensing Image Segmentation

Remote Sensing
Remote sensing referring segmentation aims to extract the exact region of an object in an aerial image based on a natural language description, but it remains challenging because remote sensing scenes cover large areas, many objects look similar, and the
Tianxiang Zhang, Junbai Li, Yanqiang Feng, Zhaokun Wen, Li Liu, Jiangyun Li   +5 more
doaj   +1 more source