Litcius/Paper detail

Biochemical resolving power of fluorescence lifetime imaging: untangling the roles of the instrument response function and photon-statistics

Andrew L. Trinh, Alessandro Esposito

2021Biomedical Optics Express26 citationsDOIOpen Access PDF

Abstract

A deeper understanding of spatial resolution has led to innovations in microscopy and the disruption of biomedical research, as with super-resolution microscopy. To foster similar advances in time-resolved and spectral imaging, we have previously introduced the concept of ‘biochemical resolving power’ in fluorescence microscopy. Here, we apply those concepts to investigate how the instrument response function (IRF), sampling conditions, and photon-statistics limit the biochemical resolution of fluorescence lifetime microscopy. Using Fisher information analysis and Monte Carlo simulations, we reveal the complex dependencies between photon-statistics and the IRF, permitting us to quantify resolution limits that have been poorly understood ( e.g. , the minimum resolvable decay time for a given width of the IRF and photon-statistics) or previously underappreciated ( e.g. , optimization of the IRF for biochemical detection). With this work, we unravel common misunderstandings on the role of the IRF and provide theoretical insights with significant practical implications on the design and use of time-resolved instrumentation.

Topics & Concepts

MicroscopyResolution (logic)PhotonOpticsStatistical powerInstrumentation (computer programming)Monte Carlo methodFluorescence microscopeFluorescence-lifetime imaging microscopyFunction (biology)Photon countingSampling (signal processing)Image resolutionPhotoactivated localization microscopyPhysicsStatisticsComputer scienceFluorescenceSuper-resolution microscopyBiologyMathematicsArtificial intelligenceDetectorOperating systemEvolutionary biologyAdvanced Fluorescence Microscopy TechniquesSpectroscopy Techniques in Biomedical and Chemical ResearchOptical Imaging and Spectroscopy Techniques