Results 51 to 60 of about 85,423 (296)

Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey [version 2; peer review: 2 approved]

open access: yesF1000Research, 2022
Background: Knowing the needs of the bioimaging community with respect to research data management (RDM) is essential for identifying measures that enable adoption of the FAIR (findable, accessible, interoperable, reusable) principles for microscopy and ...
Stefanie Weidtkamp-Peters   +5 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

open access: yesFEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová   +2 more
wiley   +1 more source

A Computational Framework for Bioimaging Simulation. [PDF]

open access: yesPLoS ONE, 2015
Using bioimaging technology, biologists have attempted to identify and document analytical interpretations that underlie biological phenomena in biological cells.
Masaki Watabe   +8 more
doaj   +1 more source

Near-Infrared-II Bioimaging for in Vivo Quantitative Analysis

open access: yesFrontiers in Chemistry, 2021
Near-Infrared-II (NIR-II) bioimaging is a newly emerging visualization modality in real-time investigations of biological processes research. Owning to advances in reducing photon scattering and low tissue autofluorescence levels in NIR-II region (1,000 ...
Sha Yang   +4 more
doaj   +1 more source

Nonexponential statistics of fluorescence photobleaching [PDF]

open access: yes, 2004
In this paper, I consider theoretical models of the decay via photobleaching of a sample of surface-immobilized fluorescent molecules excited by a spatially varying laser intensity profile.
Berglund, Andrew J.
core   +1 more source

Intermolecular Interactions as Driving Force of Increasing Multiphoton Absorption in a Perylene Diimide‐Based Coordination Polymer

open access: yesAdvanced Functional Materials, EarlyView.
This study uncovers the unexplored role of intermolecular interactions in multiphoton absorption in coordination polymers. By analyzing [Zn2tpda(DMA)2(DMF)0.3], it shows how the electronic coupling of the chromophores and confinement in the MOF enhance two‐and three‐photon absorption.
Simon Nicolas Deger   +11 more
wiley   +1 more source

Optical Bioimaging 2010: Seeing More, Deeper, Faster

open access: yesIEEE Photonics Journal, 2011
The year 2010 has seen many major developments in optical bioimaging—too many to fully survey here. We concentrate on breakthroughs that impact on future bioimaging of live animals and humans, including advances in resolution, imaging depth, speed,
David D. Sampson
doaj   +1 more source

Exfoliated near infrared fluorescent silicate nanosheets for (bio)photonics

open access: yesNature Communications, 2020
Near-infrared (NIR) fluorophores have attracted interest for bioimaging; yet availability, biocompatibility and application can be an issue. Here, the authors report on the development of Egyptian Blue nanosheets with high NIR fluorescence and ...
Gabriele Selvaggio   +17 more
doaj   +1 more source

Dopamine transporter neuroimaging accurately assesses the maturation of dopamine neurons in a preclinical model of Parkinson’s disease

open access: yesStem Cell Research & Therapy, 2020
Background Significant developments in stem cell therapy for Parkinson’s disease (PD) have already been achieved; however, methods for reliable assessment of dopamine neuron maturation in vivo are lacking.
Julian L. Goggi   +23 more
doaj   +1 more source

TICAL - a web-tool for multivariate image clustering and data topology preserving visualization [PDF]

open access: yes, 2011
In life science research bioimaging is often used to study two kinds of features in a sample simultaneously: morphology and co-location of molecular components.
Abouna, Sylvie   +5 more
core  

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