When light meets biology–how the specimen affects quantitative microscopy

MA Reiche, JS Aaron, U Boehm… - Journal of Cell …, 2022 - journals.biologists.com
Fluorescence microscopy images should not be treated as perfect representations of
biology. Many factors within the biospecimen itself can drastically affect quantitative …

Live-cell fluorescence spectral imaging as a data science challenge

JP Acuña-Rodriguez, JP Mena-Vega… - Biophysical …, 2022 - Springer
Live-cell fluorescence spectral imaging is an evolving modality of microscopy that uses
specific properties of fluorophores, such as excitation or emission spectra, to detect multiple …

Unmixing biological fluorescence image data with sparse and low-rank Poisson regression

R Wang, AA Lemus, CM Henneberry, Y Ying… - …, 2023 - academic.oup.com
Motivation Multispectral biological fluorescence microscopy has enabled the identification of
multiple targets in complex samples. The accuracy in the unmixing result degrades (i) as the …

Comparing performance of spectral image analysis approaches for detection of cellular signals in time-lapse hyperspectral imaging fluorescence excitation-scanning …

M Parker, NS Annamdevula, D Pleshinger, Z Ijaz… - Bioengineering, 2023 - mdpi.com
Hyperspectral imaging (HSI) technology has been applied in a range of fields for target
detection and mixture analysis. While HSI was originally developed for remote sensing …

Autofluorescence prediction model for fluorescence unmixing and age determination

M Eigenfeld, R Kerpes, I Whitehead… - Biotechnology …, 2022 - Wiley Online Library
Background Flow cytometry is a powerful tool for identifying and quantifying various cell
markers, such as viability, vitality, and individual cell age, at single‐cell stages. However …

Development of spectral imaging cytometry

IA Vorobjev, A Kussanova, NS Barteneva - Spectral and Imaging …, 2023 - Springer
Spectral flow cytometry is a new technology that enables measurements of fluorescent
spectra and light scattering properties in diverse cellular populations with high precision …

A framework of multi-view machine learning for biological spectral unmixing of fluorophores with overlap** excitation and emission spectra

R Wang, Y Feng, AM Valm - Briefings in Bioinformatics, 2025 - academic.oup.com
The accuracy of assigning fluorophore identity and abundance, known as spectral unmixing,
in biological fluorescence microscopy images remains a significant challenge due to the …

BINGO: a blind unmixing algorithm for ultra-multiplexing fluorescence images

X Huang, X Gao, L Fu - Bioinformatics, 2024 - academic.oup.com
Motivation Spectral imaging is often used to observe different objects with multiple
fluorescent labels to reveal the development of the biological event. As the number of …

Visualizing the invisible: advanced optical microscopy as a tool to measure biomechanical forces

CM Hobson, JS Aaron, JM Heddleston… - Frontiers in Cell and …, 2021 - frontiersin.org
The importance of mechanical force in biology is evident across diverse length scales,
ranging from tissue morphogenesis during embryo development to mechanotransduction …

[PDF][PDF] Three-dimensional approaches in histopathological tissue clearing system

TB Lee, J Lee, JH Jun - Korean Journal of Clinical Laboratory Science, 2020 - kjcls.org
Three-dimensional microscopic approaches in histopathology display multiplex properties
that present puzzling questions for specimens as related to their comprehensive volumetric …