Articles

3D Structure From 2D Microscopy Images Using Deep Learning

in Computational BioImaging

• Benjamin Blundell
• Christian Sieben
• Suliana Manley
• Ed Rosten
• QueeLim Ch’ng
• Susan Cox

Detection and counting of Leishmania intracellular parasites in microscopy images

in Medtech Data Analytics

• Lariza María de la Caridad Portuondo-Mallet
• Niurka Mollineda-Diogo
• Rubén Orozco-Morales
• Juan Valentín Lorenzo-Ginori

Effective Immunohistochemistry Pathology Microscopy Image Generation Using CycleGAN

in Molecular Diagnostics and Therapeutics

• Zidui Xu
• Xi Li
• Xihan Zhu
• Luyang Chen
• Yonghong He
• Yupeng Chen

Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images

• Alessandro Bria
• Massimo Bernaschi
• Massimiliano Guarrasi
• Giulio Iannello

Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images

in Imaging Applications

• Chaima Ben Rabah
• Ioannis N. Petropoulos
• Rayaz A. Malik
• Ahmed Serag

Automated quantification of photoreceptor outer segments in developing and degenerating retinas on microscopy images across scales

in Methods and Model Organisms

• Suse Seidemann
• Florian Salomon
• Karl B. Hoffmann
• Thomas Kurth
• Ivo F. Sbalzarini
• Robert Haase
• Marius Ader

Segmentation of cellular ultrastructures on sparsely labeled 3D electron microscopy images using deep learning

in Computational BioImaging

• Archana Machireddy
• Guillaume Thibault
• Kevin G. Loftis
• Kevin Stoltz
• Cecilia E. Bueno
• Hannah R. Smith
• Jessica L. Riesterer
• Joe W. Gray
• Xubo Song

An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images

in Biosensors and Biomolecular Electronics

• Ningning Tang
• Qi Chen
• Yunyu Meng
• Daizai Lei
• Li Jiang
• Yikun Qin
• Xiaojia Huang
• Fen Tang
• Shanshan Huang
• Qianqian Lan

Super resolution-based methodology for self-supervised segmentation of microscopy images

in Systems Microbiology

• Vidya Bommanapally
• Dilanga Abeyrathna
• Parvathi Chundi
• Mahadevan Subramaniam

The Clinical Value of Explainable Deep Learning for Diagnosing Fungal Keratitis Using in vivo Confocal Microscopy Images

in Ophthalmology

• Fan Xu
• Li Jiang
• Wenjing He
• Guangyi Huang
• Yiyi Hong
• Fen Tang
• Jian Lv
• Yunru Lin
• Yikun Qin
• Rushi Lan

Defining an Optimal Sample Size for Corneal Epithelial Immune Cell Analysis Using in vivo Confocal Microscopy Images

in Ophthalmology

• Xin Yuan Zhang
• Mengliang Wu
• Holly R. Chinnery
• Laura E. Downie

Deep ensemble learning and transfer learning methods for classification of senescent cells from nonlinear optical microscopy images

in Chemical Biology

• Salvatore Sorrentino
• Francesco Manetti
• Arianna Bresci
• Federico Vernuccio
• Chiara Ceconello
• Silvia Ghislanzoni
• Italia Bongarzone
• Renzo Vanna
• Giulio Cerullo
• Dario Polli

Evaluation of a computer-aided diagnostic model for corneal diseases by analyzing in vivo confocal microscopy images

in Ophthalmology

• Yulin Yan
• Weiyan Jiang
• Yiwen Zhou
• Yi Yu
• Linying Huang
• Shanshan Wan
• Hongmei Zheng
• Miao Tian
• Huiling Wu
• Li Huang

Deep Learning for Automated Analysis of Cellular and Extracellular Components of the Foreign Body Response in Multiphoton Microscopy Images

in Tissue Engineering and Regenerative Medicine

• Mattia Sarti
• Maria Parlani
• Luis Diaz-Gomez
• Antonios G. Mikos
• Pietro Cerveri
• Stefano Casarin
• Eleonora Dondossola

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

in Computational Genomics

• Zhihao Wei
• Xi Liu
• Ruiqing Yan
• Guocheng Sun
• Weiyong Yu
• Qiang Liu
• Qianjin Guo

LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images

in Computational BioImaging

• Mark Winter
• Andrew R. Cohen