Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

M Botifoll, I Pinto-Huguet, J Arbiol - Nanoscale Horizons, 2022 - pubs.rsc.org
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

[PDF][PDF] 基于深度学习算法的计算光学研究进展

王一同, 周宏强, 闫景逍, 合聪, 黄玲玲 - Chinese Journal of …, 2021 - researching.cn
摘要随着大数据时代的来临, 深度学习被广泛地应用于图像处理, 语音识别, 自动驾驶等领域.
作为一种数据驱动的算法, 深度学习应用于光学领域可以有效地提高计算效率和成像质量 …

Pixel-level multimodal fusion deep networks for predicting subcellular organelle localization from label-free live-cell imaging

Z Wei, X Liu, R Yan, G Sun, W Yu, Q Liu… - Frontiers in Genetics, 2022 - frontiersin.org
Complex intracellular organizations are commonly represented by dividing the metabolic
process of cells into different organelles. Therefore, identifying sub-cellular organelle …

Multiple Parallel Fusion Network for Predicting Protein Subcellular Localization from Stimulated Raman Scattering (SRS) Microscopy Images in Living Cells

Z Wei, W Liu, W Yu, X Liu, R Yan, Q Liu… - International Journal of …, 2022 - mdpi.com
Stimulated Raman Scattering Microscopy (SRS) is a powerful tool for label-free detailed
recognition and investigation of the cellular and subcellular structures of living cells …

[HTML][HTML] Mask R-CNN provides efficient and accurate measurement of chondrocyte viability in the label-free assessment of articular cartilage

H Fan, P Xu, X Chen, Y Li, Z Zhang, J Hsu, M Le… - … and Cartilage Open, 2023 - Elsevier
Objective Chondrocyte viability (CV) can be measured with the label-free method using
second harmonic generation (SHG) and two-photon excitation autofluorescence (TPAF) …

Deep learning-based high-speed, large-field, and high-resolution multiphoton imaging

Z Zhao, B Shen, Y Li, S Wang, R Hu, J Qu… - Biomedical Optics …, 2022 - opg.optica.org
Multiphoton microscopy is a formidable tool for the pathological analysis of tumors. The
physical limitations of imaging systems and the low efficiencies inherent in nonlinear …

[HTML][HTML] Automatic quantitative analysis of metabolism inactivation concentration in single bacterium using stimulated Raman scattering microscopy with deep learning …

B Sun, Z Wang, J Lin, C Chen, G Zheng, S Yue… - Medicine in Novel …, 2022 - Elsevier
Rapid antimicrobial susceptibility testing (AST) is urgently needed to slow down the
emergence of antibiotic-resistant bacteria and treat infections with correct antibiotics …

Rapid histological imaging of bone without microtome sectioning using nonlinear microscopy

T Yoshitake, S Rosen, LC Cahill, S Lamothe, A Ward… - Bone, 2022 - Elsevier
Tissue preparation for histologic evaluation of bone is particularly lengthy, limiting its use in
intraoperative or intraprocedural histological evaluation. Nonlinear microscopy (NLM) is an …

Automated chondrocyte viability analysis of articular cartilage based on deep learning segmentation and classification of two-photon microscopic images

H Fan, P Xu, M Le, J Hsu, X Chen, Y Li… - Three-Dimensional …, 2022 - spiedigitallibrary.org
Chondrocyte viability is an important measure to consider when assessing cartilage health.
Dye-based cell viability assays are not suitable for in vivo or long-term studies. We have …

[HTML][HTML] Rapid antimicrobial susceptibility testing for mixed bacterial infection in urine by AI-stimulated Raman scattering metabolic imaging

W Zhang, X Chen, J Zhang, X Chen, L Zhou… - Medicine in Novel …, 2022 - Elsevier
Urinary tract infection with mixed microorganisms may lead to false-positive resistance
detection. Current antimicrobial susceptibility testing (AST) performed in clinical laboratories …