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This work presents an optical neuromorphic imaging and processing cytometry system that integrates an excitable VCSEL-based time-delayed (TD) extreme learning machine with an event-based 2D camera. The proposed system is designed for the…

Optics · Physics 2025-05-20 M. Skontranis , G. Moustakas , A. Bogris , C. Mesaritakis

Bone marrow cytology is required to make a hematological diagnosis, influencing critical clinical decision points in hematology. However, bone marrow cytology is tedious, limited to experienced reference centers and associated with high…

Image and Video Processing · Electrical Eng. & Systems 2021-07-09 Rohollah Moosavi Tayebi , Youqing Mu , Taher Dehkharghanian , Catherine Ross , Monalisa Sur , Ronan Foley , Hamid R. Tizhoosh , Clinton JV Campbell

X-ray dark-field imaging creates a representation of the sample where contrast is generated by subresolution features within the volume under inspection. These are detected by a local measurement of the radiation field's angular…

High-resolution transmission electron microscopy (HRTEM) is an important method for imaging beam sensitive materials often under cryo conditions. Electron ptychography in the scanning transmission electron microscope (STEM) has been shown…

Materials Science · Physics 2025-09-19 Felix Bennemann , Angus I. Kirkland , David A. Muller , Peter Nellist

Intravital microscopy is an essential tool that reveals behaviours of live cells under conditions close to natural physiological states. So far, although various approaches for imaging cells in vivo have been proposed, most require the use…

Biological Physics · Physics 2016-07-04 Kyoohyun Kim , Kibaek Choe , Inwon Park , Pilhan Kim , YongKeun Park

Label-free imaging approaches seek to simplify and augment histopathologic assessment by replacing the current practice of staining by dyes to visualize tissue morphology with quantitative optical measurements. Quantitative phase imaging…

We demonstrate dark-field x-ray microtomography in a compact, laboratory-based system capable of resolving attenuation, phase, and anisotropic scattering signals with micrometer-scale resolution across centimetre-scale samples. The method…

The Fourier inversion of phased coherent diffraction patterns offers images without the resolution and depth-of-focus limitations of lens-based tomographic systems. We report on our recent experimental images inverted using recent…

Spatial transcriptomics methods capture cellular measurements such as gene expression and cell types at specific locations in a cell, helping provide a localized picture of tissue health. Traditional visualization techniques superimpose the…

Quantitative Methods · Quantitative Biology 2024-10-16 Siyuan Zhao , G. Elisabeta Marai

Bacterial heterogeneity is pivotal for adaptation to diverse environments, posing significant challenges in microbial diagnostics and therapeutic interventions. Recent advancements in high-resolution optical microscopy have revolutionized…

Biological Physics · Physics 2025-01-06 Dohyeon Lee , Hyun-Seung Lee , Moosung Lee , Minhee Kang , Geon Kim , Tae Yeul Kim , Nam Yong Lee , YongKeun Park

This paper introduces Spectral Incoherent Diffractive Imaging (SIDI) as a novel method for achieving dark-field imaging of nanostructures with heterogeneous oxidation states. With SIDI, shifts in photoemission profiles can be spatially…

Optics · Physics 2023-12-25 Tamme Wollweber , Kartik Ayyer

We report the implementation of a fully on-chip, lensless microscopy technique termed optofluidic ptychography. This imaging modality complements the miniaturization provided by microfluidics and allows the integration of ptychographic…

Instrumentation and Detectors · Physics 2021-12-21 Pengming Song , Chengfei Guo , Shaowei Jiang , Tianbo Wang , Patrick Hu , Derek Hu , Zibang Zhang , Bin Feng , Guoan Zheng

Resolving morphological chemical phase transformations at the nanoscale is of vital importance to many scientific and industrial applications across various disciplines. The TXM-XANES imaging technique, by combining full field transmission…

Image and Video Processing · Electrical Eng. & Systems 2022-01-04 Jizhou Li , Bin Chen , Guibin Zan , Guannan Qian , Piero Pianetta , Yijin Liu

The combination of different imaging modalities into single imaging platforms has a strong potential in biomedical sciences since it permits the analysis of complementary properties of the target sample. Here, we report on an extremely…

Optics · Physics 2025-01-17 David Alonso , Javier Garcia , Vicente Mico

Purpose: The XCAT phantom allows for highly sophisticated multimodality imaging research. It includes a complete set of organs, muscle, bone, soft tissue, while also accounting for age, sex, and body mass index (BMI), which allows phantom…

Fast 3D super-resolution imaging is essential for decoding rapidly occurring biological processes. Encoding single molecules to their respective planes enable simultaneous multi-plane super-resolution volume imaging. This saves the…

Biological Physics · Physics 2016-08-04 Partha Pratim Mondal

High-speed image acquisition in light microscopy is essential for a wide range of applications, including observing dynamic biological processes and enabling high-throughput sample analysis. However, traditional imaging speeds are often…

Fluorescence microscopy has been a significant tool to observe long-term imaging of embryos (in vivo) growth over time. However, cumulative exposure is phototoxic to such sensitive live samples. While techniques like light-sheet…

Image and Video Processing · Electrical Eng. & Systems 2022-01-05 Varun Mannam , Jacob Brandt , Cody J. Smith , Scott Howard

Label-free approaches are attractive in cytological imaging due to their flexibility and cost efficiency. They are supported by machine learning methods, which, despite the lack of labeling and the associated lower contrast, can classify…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Stefan Röhrl , Johannes Groll , Manuel Lengl , Simon Schumann , Christian Klenk , Dominik Heim , Martin Knopp , Oliver Hayden , Klaus Diepold

Synthetic tumors in medical images offer controllable characteristics that facilitate the training of machine learning models, leading to an improved segmentation performance. However, the existing methods of tumor synthesis yield…

Computer Vision and Pattern Recognition · Computer Science 2025-09-04 Hongxu Yang , Edina Timko , Levente Lippenszky , Vanda Czipczer , Lehel Ferenczi