In vivo time-resolved autofluorescence measurements on human skin

Katika, Kamal M.; Pilon, Laurent; Dipple, Katrina M.; Levin, Seymour R.; Blackwell, Jennifer; Berberoğlu, Halil

doi:10.1117/12.647149

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Heterogeneity in lifetime measurements is commonly quantified from coefficients of variation (CV). 179,[241][242][243][244][245] The CV is the standard deviation divided by the mean of a measurement, which enables comparisons of variability between samples. However, the CV does not define whether distinct subpopulations exist within the lifetime data.…”

Section: Object-level Analysismentioning

confidence: 99%

Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications

et al. 2020

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Significance: Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique to distinguish the unique molecular environment of fluorophores. FLIM measures the time a fluorophore remains in an excited state before emitting a photon, and detects molecular variations of fluorophores that are not apparent with spectral techniques alone. FLIM is sensitive to multiple biomedical processes including disease progression and drug efficacy. Aim: We provide an overview of FLIM principles, instrumentation, and analysis while highlighting the latest developments and biological applications. Approach: This review covers FLIM principles and theory, including advantages over intensitybased fluorescence measurements. Fundamentals of FLIM instrumentation in time-and frequencydomains are summarized, along with recent developments. Image segmentation and analysis strategies that quantify spatial and molecular features of cellular heterogeneity are reviewed. Finally, representative applications are provided including high-resolution FLIM of cell-and organelle-level molecular changes, use of exogenous and endogenous fluorophores, and imaging protein-protein interactions with Förster resonance energy transfer (FRET). Advantages and limitations of FLIM are also discussed. Conclusions: FLIM is advantageous for probing molecular environments of fluorophores to inform on fluorophore behavior that cannot be elucidated with intensity measurements alone. Development of FLIM technologies, analysis, and applications will further advance biological research and clinical assessments.

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Section: Object-level Analysismentioning

confidence: 99%

Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications

et al. 2020

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“…This effect was accounted for in the simulations by imposing a constant Poisson noise with a mean and variance of 10. The peak value of 10 6 and the noise levels of 10 were chosen based on experiments [47]. …”

Section: Evaluation Of An Embedded Glucose Sensormentioning

confidence: 99%

Feasibility analysis of an epidermal glucose sensor based on time-resolved fluorescence

Katika

Pilon

2007

Appl. Opt.

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The goal of this paper is to present numerical simulations predicting the timeresolved autofluorescence of human skin at 577 nm exposed to a pulse of collimated light at 337 nm and pulse width of 1 ns. Moreover, it investigates the feasibility of using an Finally, the glucose concentrations within the skin were recovered within 13.5 % of their actual values, indicating a possibility of measuring glucose concentrations using a time-resolved fluorescence sensor.

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The Spectral Analysis of Human Skin Tissue Using Multi-spectral Images

Zacher

2010

Computer Vision and Graphics

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In vivo time-resolved autofluorescence measurements on human skin

Cited by 5 publications

References 7 publications

Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications

Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications

Feasibility analysis of an epidermal glucose sensor based on time-resolved fluorescence

The Spectral Analysis of Human Skin Tissue Using Multi-spectral Images

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