Deep learning modeling in microscopy imaging: A review of materials science applications

M Ragone, R Shahabazian-Yassar, F Mashayek… - Progress in Materials …, 2023 - Elsevier
The accurate analysis of microscopy images representing various materials obtained in
scanning probe microscopy, scanning tunneling microscopy, and transmission electron …

Robotic micromanipulation: Fundamentals and applications

Z Zhang, X Wang, J Liu, C Dai… - Annual Review of Control …, 2019 - annualreviews.org
Robotic micromanipulation is a relatively young field. However, after three decades of
development and evolution, the fundamental physics; techniques for sensing, actuation, and …

Prognostic and predictive value of a pathomics signature in gastric cancer

D Chen, M Fu, L Chi, L Lin, J Cheng, W Xue… - Nature …, 2022 - nature.com
The current tumour-node-metastasis (TNM) staging system alone cannot provide adequate
information for prognosis and adjuvant chemotherapy benefits in patients with gastric cancer …

Analysis of focus measure operators for shape-from-focus

S Pertuz, D Puig, MA Garcia - Pattern Recognition, 2013 - Elsevier
Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth
recovery and 3D reconstruction method. One of the main stages in SFF is the computation of …

Advanced CUBIC tissue clearing for whole-organ cell profiling

K Matsumoto, TT Mitani, SA Horiguchi, J Kaneshiro… - Nature protocols, 2019 - nature.com
Tissue-clearing techniques are powerful tools for biological research and pathological
diagnosis. Here, we describe advanced clear, unobstructed brain imaging cocktails and …

[BUCH][B] The image processing handbook

JC Russ - 2006 - taylorfrancis.com
Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …

3D traction forces in cancer cell invasion

TM Koch, S Münster, N Bonakdar, JP Butler, B Fabry - PloS one, 2012 - journals.plos.org
Cell invasion through a dense three-dimensional (3D) matrix is believed to depend on the
ability of cells to generate traction forces. To quantify the role of cell tractions during invasion …

Autofocusing in digital holographic phase contrast microscopy on pure phase objects for live cell imaging

P Langehanenberg, B Kemper, D Dirksen… - Applied …, 2008 - opg.optica.org
Digital holography enables a multifocus quantitative phase microscopy for the investigation
of reflective surfaces and for marker-free live cell imaging. For digital holographic long-term …

A fast approach for no-reference image sharpness assessment based on maximum local variation

K Bahrami, AC Kot - IEEE signal processing letters, 2014 - ieeexplore.ieee.org
This letter proposes a simple and fast approach for no-reference image sharpness quality
assessment. In this proposal, we define the maximum local variation (MLV) of each pixel as …

Autofocusing technologies for whole slide imaging and automated microscopy

Z Bian, C Guo, S Jiang, J Zhu, R Wang… - Journal of …, 2020 - Wiley Online Library
Whole slide imaging (WSI) has moved digital pathology closer to diagnostic practice in
recent years. Due to the inherent tissue topography variability, accurate autofocusing …