Felipe Velasquez Moros

Quantitative fluorescence microscopy requires photon-efficiency, speed and accurate intensity and lifetime measurements. Time-correlated single-photon counting (TCSPC) simultaneously captures intensity and lifetime, but photon pile-up distorts both signals at high count rates, preventing fast acquisitions. Existing corrections discard photons, distort intensity, or require specialized detectors. Here we introduce PURELIGHT, an integrated hardware and software framework that simultaneously recovers undistorted intensities and lifetimes at count rates far beyond conventional pile-up limits. PURELIGHT works with hybrid photodetectors, silicon photomultipliers and photomultiplier tubes while retaining over three times more photons than alternative approaches. Using two-photon imaging, we showcase PURELIGHT’s superior accuracy and spatial contrast, demonstrating video-rate subcellular lifetime imaging in awake mice, a unique lifetime-calibrated ratiometric modality and crosstalk-free temporal multiplexing. By removing the limits that have confined TCSPC to low-signal applications, PURELIGHT promotes the adoption of quantitative, photon-efficient microscopy across the life sciences.

The delivery of genetically encoded fluorescent sensors via adeno-associated viral vectors (AAVs) enables the quantification of biological analytes with high spatiotemporal resolution in living animals. In this study, we expose an unreported problem of the approach, in which the presence of repeated subsequences in the sensor’s DNA sequence triggers recombination during AAV production. In the case of Förster Resonance Energy Transfer (FRET) sensors, recombination leads to a mixture of fluorescent products, severely compromising in vivo functionality. To counter this phenomenon, we introduce Abundance-Biased Codon Diversification (ABCD), a modification of a previously reported codon diversification method that prevents recombination without sacrificing codon optimization for a target organism. We demonstrate that ABCD greatly facilitates in vivo studies by restoring the functionality of FRET sensors and advanced inducible expression systems delivered via AAV vectors. Our approach offers a robust solution to a previously overlooked challenge, significantly expanding the range of future applications in quantitative imaging and genetic manipulation in living animals using AAV-mediated strategies.

Two-photon excited fluorescence microscopy (2PM) has revolutionized neuroscience, allowing the investigation of biological dynamics with subcellular and subsecond resolution in living animals.^1,2 Fluorescent labeling with proteins and dyes has been used to elucidate the morphology and behavior of cells and blood vessels under physiological and pathological conditions, whereas functional readouts such as calcium imaging or blood flow measurements have shed light on dynamic phenomena such as neuronal activity and neurovascular coupling.^3,4 However, despite its successes, intensity-based 2PM is heavily affected by confounding factors such as fluorophore expression, tissue scattering and absorption, and sample motion. Although these problems can be somewhat alleviated using ratiometric approaches, the wavelength dependence of scattering and absorption still prevents accurate quantitation. Thus, traditional 2PM is insufficient to investigate biological processes such as metabolism, which require the precise quantification of molecule concentrations.^5,6

Intensity-based two-photon microscopy (2PM) is a cornerstone of biomedical research but lacks the ability to measure concentrations, a pivotal task for longitudinal studies and quantitative comparisons. Fluorescence Lifetime Imaging (FLIM) based on Time-Correlated Single Photon Counting (TCSPC) can overcome those limits but suffers from “pile-up” distortions at high photon count rates, severely limiting acquisition speed. We introduce the “laser period blind time” (LPBT) method to correct pile-up distortions in photon counting electronics, enabling reliable low-cost TCSPC-FLIM at high count rates. The correction was implemented on low-cost hardware based on a field programable gate array (FPGA) and validated using a combination of in silico simulations and in vitro, ex vivo and in vivo measurements. The LBPT approach achieves <3% error in lifetime measurements at count rates more than ten times higher than traditional limits, allowing robust FLIM imaging of sub-second metabolite dynamics with subcellular resolution. Our work enables high-precision, cost-effective FLIM imaging at rates comparable to commercial systems and at a fraction of the cost, facilitating the adoption of FLIM across all areas of research needing affordable, quantitative live imaging solutions.

The delivery of genetically encoded fluorescent sensors via adeno-associated viral vectors (AAVs) enables the quantification of biological analytes with high spatiotemporal resolution in living animals. In this study, we expose an unreported problem of the approach, in which the presence of repeated subsequences in the sensor’s DNA sequence triggers recombination during AAV production. In the case of Förster Resonance Energy Transfer (FRET) sensors, recombination leads to a mixture of fluorescent products, severely compromising in vivo functionality. To counter this phenomenon, we introduced Abundance-Biased Codon Diversification (ABCD), a computational method that prevents recombination without sacrificing codon optimization for a target organism. We demonstrate that ABCD greatly facilitates in vivo studies by restoring the functionality of FRET sensors and advanced inducible expression systems delivered via AAV vectors. We thereby offer a robust solution to a previously overlooked challenge for quantitative imaging and genetic manipulation in living animals using AAV-mediated strategies.