Implementation of FLIM and SIFT for improved intraoperative delineation of glioblastoma margin

Lin, Danying; Luo, Teng; Liu, Liwei; Lu, Yuan; Liu, Shaoxiong; Yuan, Zhen; Qu, Junle

doi:10.3788/col201715.090006

Cited by 3 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…15 The fluorescence lifetime is the average residence time in the excited state of the molecules of a substance before they return to the ground state after being excited by a light pulse and jumping to a higher energy level, which is approximately on the order of ns and is often expressed as τ. 16 A characteristic of FLIM is that the fluorescence lifetime is not affected by the dye concentration, fluorescence intensity, laser power and photobleaching, but is related to the conditions of the microenvironment in which the substance itself is located and its own structure. 17 Therefore, FLIM images can provide both localization and functional information of biological samples.…”

Section: Introductionmentioning

confidence: 99%

FLIM reveals high salinity resistance in a green algae Chlorella sp. under light and dark conditions

Xiao

Deng

Sun

et al. 2023

Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023)

View full text Add to dashboard Cite

Chlorella is a unicellular spherical green microalga with alternate colors from blue green to yellowish or red due to different components of innate pigments. Light and salinity are two important environmental factors in Chlorella culture. Light conditions directly affect the growth and biochemical composition of microalgae, while salinity change could influence the pigment composition of Chlorella. Therefore, it has crucial research significance to monitor the response of Chlorella to salinity stress under different light conditions. Recently, Fluorescence Lifetime Imaging Microscopy (FLIM) technology has been widely applied into biological fields, providing fluorescence lifetime values for quantitative analysis. Here, FLIM method was used to observe the autofluorescence of a freshwater microalga, Chlorella sp.. Chlorella cells were treated with a series of salinity concentrations (control sample in normal culture medium, 3S sample with an additional 3× salinity, 7S sample with an additional 7× salinity, respectively) under light (12 h/12 h light/dark cycles) or dark (0 h/24 h light/dark cycles) treatments. After one day, images of the microalgae cells from each group were obtained with FLIM system, followed by an analysis with SPCImage software. The results showed that 3× salinity condition had little effect on Chlorella in both light/dark conditions, suggesting the adaptive capacity of Chlorella to seawater salinity. By contrast, the mean fluorescence lifetime values in 7S samples under light conditions were significantly decreased compared to that of the control. Interestingly, similar lifetime values were observed in 7S samples and the control samples under dark conditions, which indicated a potential high salinity resistance induced by different light/dark conditions. In conclusion, FLIM could work as a fast evaluation method of the physiological status of living Chlorella sp. under different culture conditions in a quantitative way.

show abstract

Section: Introductionmentioning

confidence: 99%

FLIM reveals high salinity resistance in a green algae Chlorella sp. under light and dark conditions

Xiao

Deng

Sun

et al. 2023

Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023)

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

New advances in biomedical applications of multiphoton imaging technology

Li¹,

Geng²,

Li³

et al. 2020

Acta Phys. Sin.

View full text Add to dashboard Cite

In contrast to single photon excitation fluorescence imaging, laser scanning confocal imaging, and wide-field imaging, the multi-photon imaging has advantages of minimal invasion and deeper penetration by using near-infrared (NIR) laser source. Moreover, it can carry out three-dimensional high-spatial-resolution imaging of biological tissues due to its natural optical tomography capability. Since its advent, multi-photon imaging has become a powerful tool in biomedicine and achieved a series of significant discoveries in cancer pathology, neurological diseases and brain functional imaging. In the past decade, as a major form of multi-photon imaging techonoogy, two-photon excited fluorescence microscopy imaging has a great potential in biomedical applications. In order to satisfy the practical biomedical applications, multi-photon imaging technologies have made significant breakthroughs in improving the deficiencies of traditional 2PEF in multi-color imaging, functional imaging, live imaging and imaging depth, such as multicolor two-photon excitation fluorescence microscopy, two-photon fluorescence lifetime imaging microscopy, two-photon fiber endoscopic imaging, and three-photon microscopy imaging technology. For example, multicolor two-photon excitation fluorescence microscopy is demonstrated to achieve simultaneous imaging of multiple fluorophores with multiple wavelenth excitation lasers or continuous spectrum. In addition, the two-photon fluorescence lifetime microscopic imaging provides a method to achieve high-resolution three-dimensional imaging of biological tissue with multi-dimensional information including fluorescence intensity and lifetime. In addition, two-photon optical fiber endoscopic imaging with small system size and mimal invasion is developed and used to image the tissue inside the deep organ. Finally, two-photon excitation fluorescence microscopy technique still has relatively strong scattering for brain functional imaging in vivo. Therefore, the imaging depth is limited by the signal-to-background ratio. Three-photon microscopic imaging technique can achieve higher imaging depth and a desired signal-to-noise ratio by extending the wavelength from 1600 nm to 1820 nm because the attenuation of the excitation light in this wavelenth range is much smaller. In this article, we briefly introduce the principles and applications of these multi-photon imaging technologies, and finally provide our view for their future development.

show abstract

Implementation of FLIM and SIFT for improved intraoperative delineation of glioblastoma margin

Cited by 3 publications

References 20 publications

FLIM reveals high salinity resistance in a green algae Chlorella sp. under light and dark conditions

FLIM reveals high salinity resistance in a green algae Chlorella sp. under light and dark conditions

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

New advances in biomedical applications of multiphoton imaging technology

Contact Info

Product

Resources

About