Rapid Flim: The New and Innovative Method for Ultra-Fast Imaging of Biological Processes

Koenig, Marcelle; Orthaus-Mueller, Sandra; Dowler, Rhys; Kraemer, Benedikt; Tannert, Astrid; Schulz, O.; Roehlicke, Tino; Wahl, Michael; Rahn, Hans-Juergen; Patting, Matthias; Koberling, Felix; Erdmann, Rainer

doi:10.1016/j.bpj.2016.11.1614

Biophysical Journal

2017

DOI: 10.1016/j.bpj.2016.11.1614

|View full text |Cite

Rapid Flim: The New and Innovative Method for Ultra-Fast Imaging of Biological Processes

Marcelle Koenig

Sandra Orthaus-Mueller

Rhys Dowler

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 Imaging speed improving of TCSPC -FLIM by optimizing detection methods. (a) Using a collection module with a shorter dead time to record multiple photons within a single pulse cycle [36] ; (b) using a photon 'Spinner' to shorten the dead time of the capture card [37] ; (c) using parallel array detection modules to improve photon counting rate [38] 4 Imaging speed improving of TCSPC -FLIM by optimizing scanning methods. (a) Implementing fast scanning with arbitrary shapes based on 2D -AOD [39] ; (b) using a multifocal array to achieve fast scanning [41] ; (c) using line excitation to realize fast scanning, and the imaging results of two slices shown on right [44] 时 5 Schematic of TG -FLIM system based on lightsheet [55] .…”

mentioning

confidence: 99%

快速荧光寿命显微成像技术及其在活体应用的研究进展（特邀）

Lin Fangrui,

Wang Yiqiang,

Yi Min

et al. 2024

激光与光电子学进展

View full text Add to dashboard Cite

Because of the high sensitivity and specificity and unparalleled ability to quantitatively analyze tissue microenvironments, fluorescence lifetime imaging microscopy (FLIM) is widely used in the field of life sciences. However, the use of FLIM in live imaging is hindered by its slow imaging speed. Recent advancements in optoelectronics and artificial intelligence technologies have ushered in a new era for in vivo FLIM. This review introduces ways to improve the imaging speed of the timedomain and frequencydomain FLIM techniques through hardware optimization and algorithmic improvements as well as via advancements in fundamental biomedical research and clinical diagnostics.Finally, we explore the future directions of the in vivo FLIM technology.

show abstract

mentioning

confidence: 99%

快速荧光寿命显微成像技术及其在活体应用的研究进展（特邀）

Lin Fangrui,

Wang Yiqiang,

Yi Min

et al. 2024

激光与光电子学进展

View full text Add to dashboard Cite

show abstract

Fast fluorescence lifetime imaging techniques: A review on challenge and development

Liu

Lin

Becker

et al. 2019

J. Innov. Opt. Health Sci.

View full text Add to dashboard Cite

Fluorescence lifetime imaging microscopy (FLIM) is increasingly used in biomedicine, material science, chemistry, and other related research fields, because of its advantages of high specificity and sensitivity in monitoring cellular microenvironments, studying interaction between proteins, metabolic state, screening drugs and analyzing their efficacy, characterizing novel materials, and diagnosing early cancers. Understandably, there is a large interest in obtaining FLIM data within an acquisition time as short as possible. Consequently, there is currently a technology that advances towards faster and faster FLIM recording. However, the maximum speed of a recording technique is only part of the problem. The acquisition time of a FLIM image is a complex function of many factors. These include the photon rate that can be obtained from the sample, the amount of information a technique extracts from the decay functions, the efficiency at which it determines fluorescence decay parameters from the recorded photons, the demands for the accuracy of these parameters, the number of pixels, and the lateral and axial resolutions that are obtained in biological materials. Starting from a discussion of the parameters which determine the acquisition time, this review will describe existing and emerging FLIM techniques and data analysis algorithms, and analyze their performance and recording speed in biological and biomedical applications.

show abstract

Fluorescence lifetime tracking and imaging of single moving particles assisted by a low-photon-count analysis algorithm

Chen¹,

KANG²,

Niu³

et al. 2023

Biomed. Opt. Express

View full text Add to dashboard Cite

Fluorescence lifetime imaging microscopy (FLIM) has been widely used in the field of biological research because of its high specificity, sensitivity, and quantitative ability in the sensing cellular microenvironment. The most commonly used FLIM technology is based on time-correlated single photon counting (TCSPC). Although the TCSPC method has the highest temporal resolution, the data acquisition time is usually long, and the imaging speed is slow. In this work, we proposed a fast FLIM technology for fluorescence lifetime tracking and imaging of single moving particles, named single particle tracking FLIM (SPT-FLIM). We used feedback-controlled addressing scanning and Mosaic FLIM mode imaging to reduce the number of scanned pixels and the data readout time, respectively. Moreover, we developed a compressed sensing analysis algorithm based on alternating descent conditional gradient (ADCG) for low-photon-count data. We applied the ADCG-FLIM algorithm on both simulated and experimental datasets to evaluate its performance. The results showed that ADCG-FLIM could achieve reliable lifetime estimation with high accuracy and precision in the case of a photon count less than 100. By reducing the photon count requirement for each pixel from, typically, 1000 to 100, the acquisition time for a single frame lifetime image could be significantly shortened, and the imaging speed could be improved to a great extent. On this basis, we obtained lifetime trajectories of moving fluorescent beads using the SPT-FLIM technique. Overall, our work offers a powerful tool for fluorescence lifetime tracking and imaging of single moving particles, which will promote the application of TCSPC-FLIM in biological research.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Rapid Flim: The New and Innovative Method for Ultra-Fast Imaging of Biological Processes

Cited by 6 publications

References 0 publications

快速荧光寿命显微成像技术及其在活体应用的研究进展（特邀）

快速荧光寿命显微成像技术及其在活体应用的研究进展（特邀）

Fast fluorescence lifetime imaging techniques: A review on challenge and development

Fluorescence lifetime tracking and imaging of single moving particles assisted by a low-photon-count analysis algorithm

Contact Info

Product

Resources

About