A compendium of single extracellular vesicle flow cytometry

JA Welsh, GJA Arkesteijn, M Bremer… - Journal of …, 2023 - Wiley Online Library
Flow cytometry (FCM) offers a multiparametric technology capable of characterizing single
extracellular vesicles (EVs). However, most flow cytometers are designed to detect cells …

A review of methods for the detection of pathogenic microorganisms

P Rajapaksha, A Elbourne, S Gangadoo, R Brown… - Analyst, 2019 - pubs.rsc.org
The testing and rapid detection of pathogenic organisms is a crucial protocol in the
prevention and identification of crises related to health, safety and wellbeing. Pathogen …

Image sensing with multilayer nonlinear optical neural networks

T Wang, MM Sohoni, LG Wright, MM Stein, SY Ma… - Nature …, 2023 - nature.com
Optical imaging is commonly used for both scientific and technological applications across
industry and academia. In image sensing, a measurement, such as of an object's position or …

Detection of circulating tumor cells and their implications as a biomarker for diagnosis, prognostication, and therapeutic monitoring in hepatocellular carcinoma

JC Ahn, PC Teng, PJ Chen, E Posadas, HR Tseng… - …, 2021 - Wiley Online Library
Hepatocellular carcinoma (HCC) is among the leading causes of worldwide cancer‐related
morbidity and mortality. Poor prognosis of HCC is attributed primarily to tumor presentation …

Advances and opportunities in single-cell transcriptomics for plant research

C Seyfferth, J Renema, JR Wendrich… - Annual Review of …, 2021 - annualreviews.org
Single-cell approaches are quickly changing our view on biological systems by increasing
the spatiotemporal resolution of our analyses to the level of the individual cell. The field of …

Ghost cytometry

S Ota, R Horisaki, Y Kawamura, M Ugawa, I Sato… - Science, 2018 - science.org
Ghost imaging is a technique used to produce an object's image without using a spatially
resolving detector. Here we develop a technique we term “ghost cytometry,” an image-free …

AI on a chip

A Isozaki, J Harmon, Y Zhou, S Li, Y Nakagawa… - Lab on a Chip, 2020 - pubs.rsc.org
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

High-throughput Raman flow cytometry and beyond

J Gala de Pablo, M Lindley, K Hiramatsu… - Accounts of Chemical …, 2021 - ACS Publications
Conspectus Flow cytometry is a powerful tool with applications in diverse fields such as
microbiology, immunology, virology, cancer biology, stem cell biology, and metabolic …

Recent advances of utilizing artificial intelligence in lab on a chip for diagnosis and treatment

S Zare Harofte, M Soltani, S Siavashy, K Raahemifar - Small, 2022 - Wiley Online Library
Nowadays, artificial intelligence (AI) creates numerous promising opportunities in the life
sciences. AI methods can be significantly advantageous for analyzing the massive datasets …

[HTML][HTML] Diagnostic potential of imaging flow cytometry

M Doan, I Vorobjev, P Rees, A Filby… - Trends in …, 2018 - cell.com
Imaging flow cytometry (IFC) captures multichannel images of hundreds of thousands of
single cells within minutes. IFC is seeing a paradigm shift from low-to high-information …