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Having now covered the basics, we’ll look at several advanced applications that do the seemingly impossible, from counting individual photons to looking inside exploding plasmas. We’ll examine both the immense technical challenges involved as well as the scientific value they provide. We’ll look at several recent high-profile publications and break down how they work – what novel things the results tell us about the world, what equipment was used and why, and what made the measurements and difficult so difficult and noteworthy.
From unraveling the mysteries of the universe to understanding the intricacies of the smallest particles, scientists and researchers are continuously striving to expand the horizons of human knowledge. One such endeavor lies in the field of optical spectroscopy, where Shayne Harrell, the speaker of this session, and his team are delving into uncharted territory, exploring the extremes of this fascinating discipline.
Harrell poses a series of thought-provoking questions that challenge the conventional limits of this field including: Can we design an experiment capable of measuring processes that involve the emission of just a single photon? This question leads us to the forefront of sensitivity in optical spectroscopy which would require an unprecedented level of sensitivity to light, opening the door to fundamental processes at the quantum level. The second question posed by Harrell takes us into the realm of ultrafast phenomena. Can we measure events in physics and chemistry that occur at staggering speeds? Here, the key lies in achieving unparalleled time resolution and cutting-edge technology capable of capturing and analyzing data at lightning speed. Finally, Harrell challenges us to rethink the capabilities of spectroscopy in providing detailed chemical or elemental maps of samples. Can we use spectroscopy to generate high-density, highly informative maps?
At the heart of photon detection lies the photoelectric effect, a phenomenon that forms the basis of modern semiconductor detectors. Materials such as silicon and indium gallium arsenide (InGaAs), form the basis for generating a photocurrent—the fundamental signal in optical spectroscopy. InGaAs offer optimized band gaps for detecting photons across different regions of the electromagnetic spectrum. While silicon excels in the UV-visible and near-IR ranges, InGaAs prove invaluable for detecting photons in the shortwave infrared. Additionally, array detectors, such as charge-coupled devices (CCDs), represent a significant advancement in photon detection technology. These devices consist of a collection of photosensitive pixels integrated to form a 2D sensor or camera. As light strikes a pixel, electrons are generated via the photoelectric effect and subsequently transferred to the readout register, where they are converted into a voltage signal.
In our pursuit of unraveling the mysteries of the universe at the quantum level, understanding and optimizing detector sensitivity play pivotal roles. This leads to the intricacies of quantum efficiency —a measure of a detector's ability to convert incident photons into electrons and noise reduction, offering insights into enhancing spectroscopic capabilities. There are two primary avenues for controlling quantum efficiency: sensor architecture/design and material treatments. Quantum efficiency curves for various detector types and designs, showcase the remarkable capabilities of back-illuminated CCDs and sCMOs, which can achieve quantum efficiencies exceeding 50%. Moreover, treatments like anti-reflection coatings and bulk silicon enhance quantum efficiency, particularly in the infrared spectrum. Achieving optimal sensitivity also requires mitigating noise sources that can obscure the desired signal. Harrell discusses two prominent noise sources: read noise and dark noise. Dark noise, arising from electrons in the conduction band even in the absence of incident light, poses a significant challenge to sensitive spectroscopic measurements. Higher band gap materials exhibit lower dark noise levels, while temperature impacts the population of electrons in the conduction band.
In the pursuit of ever greater sensitivity in spectroscopic measurements, temperature control on reducing dark noise and electron-multiplying CCDs (EMCCDs) as a means of amplifying weak signals is critical. By cooling the sensor, the dark current—the source of dark noise—can be effectively reduced. Moreover, EMCCDs, unlike conventional CCDs, feature an additional channel—the electron-multiplying (EM) channel—that enables the amplification of weak signals through impact ionization. By leveraging this technology, a single photoelectron generated in the silicon can be amplified into multiple electrons, effectively boosting the signal and improving sensitivity.
By delving into the comparative analysis of conventional CCD mode versus EM mode and showcasing the impact of increasing EM gain on signal quality, EMCCDs revolutionize the landscape of spectroscopic measurements. This strategy offers a powerful solution for detecting extremely faint signals by leveraging the phenomenon of impact ionization to amplify weak signals at the pixel level and mitigate readout noise. EM mode over conventional CCD mode reveals that for photon fluxes below a certain threshold, EM mode consistently outperforms conventional CCD mode, offering higher signal-to-noise ratios and enhanced sensitivity. This demonstrates the efficacy of EMCCDs in improving detection capabilities, particularly in low-light conditions. Additionally, by progressively amplifying a weak signal, the noise floor is effectively reduced, leading to clearer images and spectra.
In a comparative analysis of spectra obtained with and without EM gain, it is observed how the application of EM gain enables significant reductions in exposure times while maintaining signal integrity. By amplifying weak signals and minimizing noise, EMCCDs empower researchers to obtain high-quality spectra with remarkable efficiency and precision. Moreover, the enhanced sensitivity afforded by EMCCDs enables the visualization of cellular structures and processes with unprecedented clarity.
At the heart of these advancements lies the quest to measure processes involving the emission of single photons—a challenge that finds practical application in single-molecule spectroscopy. However, achieving single-molecule spectroscopy poses significant technical challenges. Cryostats offer precise control over temperature, enabling single-molecule spectroscopy in controlled environments. However, their use may be limited by cost and practical considerations, particularly for samples requiring representative biological environments. Alternatively, immobilizing samples on polymer matrices or functionalized surfaces provides a means to isolate individual molecules and study their spectroscopic properties in situ.
In the realm of spectroscopic investigations, single-molecule spectroscopy stands out as a powerful tool for probing molecular interactions and dynamics at the most fundamental level. Here, the designing of optical setups sensitive to single molecules is crucial, necessitating careful localization of the active spectroscopic area. This typically involves microscopy approaches, such as confocal microscopy or total internal reflection microscopy, to precisely target and interrogate individual molecules. Furthermore, achieving optimal signal-to-noise ratios is paramount for detecting and analyzing single molecules effectively. Additionally, employing highly sensitive detectors, ensures maximal signal detection and data acquisition efficiency.
QDI, a member of the Rylene dye family known for its brightness and photostability, serves as an ideal candidate for single-molecule studies. In a PMMA polymer matrix, individual QDI molecules exhibit unique emission spectra correlated with their excitation wavelengths, providing valuable insights into their spectroscopic properties and environmental interactions. The absorption and emission spectra of QDI in different polymer matrices further highlight the sensitivity of single-molecule spectroscopy to molecular environments. By analyzing the fluorescence emission spectra of individual QDI molecules within the PMMA matrix, researchers uncover a rich tapestry of spectral diversity, indicative of the varied local environments experienced by each molecule. The histogram of emission maxima further underscores the heterogeneity of molecular behaviors, highlighting the intricate interplay between molecular structures and environmental factors.
Similarly, the fluorescence spectroscopy of DiI offers valuable insights into the behavior of dye molecules immobilized within a PMMA matrix. Far-field fluorescence imaging reveals individual fluorescence events, providing a glimpse into the spatial distribution of dye molecules within the polymer film. Analysis of fluorescence emission spectra and lifetimes further unveils the diverse responses of individual molecules to their local environments, as evidenced by the differences in emission maxima and fluorescence lifetimes.
Quantum entanglement, allows particles to remain interconnected, sharing their physical states instantaneously across vast distances. Quantum entangled photons, although primarily studied in fundamental physics, quantum metrology, and cryptography, offer intriguing possibilities for enhanced imaging. Classical holographic imaging relies on coherent light beams and interference patterns to record and reconstruct images. By splitting a coherent light beam and allowing one part to interact with an object while overlapping another part as a reference beam, a hologram is created on a photographic plate. Subsequently, a reconstruction beam illuminates the hologram, producing a three-dimensional image of the object. In contrast, quantum holographic imaging harnesses the unique properties of entangled photons. A source generates pairs of entangled photons, typically through a non-linear optical crystal. One photon of the pair interacts with the object, acquiring image information, while its entangled counterpart traverses free space. Despite spatial separation, the entangled photons retain correlated information about the object's image. Upon detection by highly sensitive cameras, the quantum spatial features of the entangled photons are reconstructed, yielding an image of the object.
The temporal scales of dynamical processes in physics and chemistry span vast orders of magnitude, from the sluggish kinetics of chemical reactions to the lightning-fast transitions of photophysical phenomena. Harrell delineates two distinct approaches for achieving time resolution in spectroscopy experiments: fast frame rate spectroscopy and pump/probe spectroscopy. Fast frame rate spectroscopy, apt for processes unfolding on the second to millisecond timescales, enables the study of short-lived excited states and transient phenomena. Techniques such as transient absorption, time-resolved fluorescence, and Time-Resolved Resonance Raman offer insights into the electronic and structural properties of fleeting intermediates, elucidating the dynamics of chemical reactions and photophysical processes. Conversely, pump/probe spectroscopy, geared towards ultrafast processes occurring within microseconds or even femtoseconds, employs laser pulses to induce transient concentrations in the sample. By probing the sample with a second pulse at a defined time interval after excitation, researchers capture snapshots of molecular dynamics with exquisite temporal resolution, ranging from nanoseconds to femtoseconds.
In the pursuit of unraveling the intricate dynamics of chemical reactions and physical processes, the realm of time-resolved spectroscopy arises, elucidating the pivotal role of Intensified Charge-Coupled Devices (ICCDs) in capturing transient phenomena with unparalleled temporal resolution. ICCDs comprise a sensor coupled with additional components to facilitate precise gating and signal amplification. At the heart of an ICCD lies the photocathode, capable of generating photoelectrons upon exposure to light, with nanosecond gating capabilities ensuring precise temporal control. Following photoelectron generation, a microchannel plate provides signal amplification, bolstering the detection sensitivity of the ICCD. The amplified photoelectrons then impinge upon a phosphor, where they are converted into visible photons for detection by the sensor, which can be either CCD or sCMOS-based. While CCD sensors offer high dynamic range, sCMOS sensors boast rapid spectral acquisition rates, catering to diverse experimental requirements.
ICCDs can be used in monitoring the dynamics of combustion reactions, where femtosecond laser excitation ignites a methane-air mixture, inducing flame formation. By employing an ICCD, researchers capture the temporal evolution of the flame, from pre-ignition dynamics to post-ignition kinetics, with exceptional temporal resolution down to microseconds. Moreover, optical emission spectroscopy of the plasma generated during combustion provides invaluable insights into radical concentrations and flame formation mechanisms.
Contrasting the conventional CCD setup, which sequentially reads out individual pixels, the sCMOS sensor integrates dedicated readout circuitry for each photodiode, enabling simultaneous readout of entire lines. sCMOS sensors can be used in chemical and elemental mapping, employing laser-induced breakdown spectroscopy (LIBS) to generate elemental maps of samples. In a LIBS experiment, an intense nanosecond laser irradiates the sample, creating a plasma that emits element-specific photons microseconds after excitation. The emitted photons' colors correspond to the elemental identities, and their intensities correlate with the elemental concentrations. Considering the spectral characteristics of LIBS emissions, their dense spectral features, varying intensities, and broad spectral range, the experimental setup necessitates both high time resolution to capture microsecond-scale emissions and the ability to simultaneously measure strong and weak spectral features.
The advantages of sCMOS sensors in LIBS applications are observed by comparing spectra obtained from intensified cameras equipped with sCMOS and CCD-type sensors. While both spectra exhibit similar signal-to-noise ratios, the dynamic range of the sCMOS sensor enables the capture of intense spectral features without clipping, unlike the CCD-based camera, which requires a higher gain to compensate for elevated read noise at high readout rates. With this, the webinar series comes to a close, with the hope that the information provided proves valuable to the viewers' spectroscopy endeavors.
Date: October 2022
Author: Shayne Harrel
Category: Webinar