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references.bib
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% Generated by Paperpile. Check out https://paperpile.com for more information.
% BibTeX export options can be customized via Settings -> BibTeX.
@ARTICLE{Charlier2021-vq,
title = "Kernel Operations on the {GPU}, with Autodiff, without Memory
Overflows",
author = "Charlier, Benjamin and Feydy, Jean and Glaun{\`e}s, Joan Alexis
and Collin, Fran{\c c}ois-David and Durif, Ghislain",
journal = "J. Mach. Learn. Res.",
volume = 22,
number = 74,
pages = "1--6",
year = 2021,
issn = "1532-4435, 1533-7928"
}
@ARTICLE{Kinz-Thompson2021-tb,
title = "Bayesian Inference: The Comprehensive Approach to Analyzing
{Single-Molecule} Experiments",
author = "Kinz-Thompson, Colin D and Ray, Korak Kumar and Gonzalez, Jr,
Ruben L",
abstract = "Biophysics experiments performed at single-molecule resolution
provide exceptional insight into the structural details and
dynamic behavior of biological systems. However, extracting this
information from the corresponding experimental data
unequivocally requires applying a biophysical model. In this
review, we discuss how to use probability theory to apply these
models to single-molecule data. Many current single-molecule data
analysis methods apply parts of probability theory, sometimes
unknowingly, and thus miss out on the full set of benefits
provided by this self-consistent framework. The full application
of probability theory involves a process called Bayesian
inference that fully accounts for the uncertainties inherent to
single-molecule experiments. Additionally, using Bayesian
inference provides a scientifically rigorous method of
incorporating information from multiple experiments into a single
analysis and finding the best biophysical model for an experiment
without the risk of overfitting the data. These benefits make the
Bayesian approach ideal for analyzing any type of single-molecule
experiment.",
journal = "Annu. Rev. Biophys.",
volume = 50,
pages = "191--208",
month = may,
year = 2021,
language = "en",
issn = "1936-122X, 1936-1238",
pmid = "33534607",
doi = "10.1146/annurev-biophys-082120-103921",
pmc = "PMC8238404"
}
@ARTICLE{Ober2015-ba,
title = "Quantitative Aspects of Single Molecule Microscopy",
author = "Ober, Raimund J and Tahmasbi, Amir and Ram, Sripad and Lin,
Zhiping and Ward, E Sally",
abstract = "Single molecule microscopy is a relatively new optical microscopy
technique that allows the detection of individual molecules such
as proteins in a cellular context. This technique has generated
significant interest among biologists, biophysicists and
biochemists, as it holds the promise to provide novel insights
into subcellular processes and structures that otherwise cannot
be gained through traditional experimental approaches. Single
molecule experiments place stringent demands on experimental and
algorithmic tools due to the low signal levels and the presence
of significant extraneous noise sources. Consequently, this has
necessitated the use of advanced statistical signal and image
processing techniques for the design and analysis of single
molecule experiments. In this tutorial paper, we provide an
overview of single molecule microscopy from early works to
current applications and challenges. Specific emphasis will be on
the quantitative aspects of this imaging modality, in particular
single molecule localization and resolvability, which will be
discussed from an information theoretic perspective. We review
the stochastic framework for image formation, different types of
estimation techniques and expressions for the Fisher information
matrix. We also discuss several open problems in the field that
demand highly non-trivial signal processing algorithms.",
journal = "IEEE Signal Process. Mag.",
volume = 32,
number = 1,
pages = "58--69",
month = jan,
year = 2015,
language = "en",
issn = "1053-5888",
pmid = "26167102",
doi = "10.1109/MSP.2014.2353664",
pmc = "PMC4494126"
}
@ARTICLE{Chiang2021-fi,
title = "Named Tensor Notation",
author = "Chiang, David and Rush, Alexander M and Barak, Boaz",
abstract = "We propose a notation for tensors with named axes, which
relieves the author, reader, and future implementers from
the burden of keeping track of the order of axes and the
purpose of each. It also makes it easy to extend operations
on low-order tensors to higher order ones (e.g., to extend
an operation on images to minibatches of images, or extend
the attention mechanism to multiple attention heads). After
a brief overview of our notation, we illustrate it through
several examples from modern machine learning, from building
blocks like attention and convolution to full models like
Transformers and LeNet. Finally, we give formal definitions
and describe some extensions. Our proposals build on ideas
from many previous papers and software libraries. We hope
that this document will encourage more authors to use named
tensors, resulting in clearer papers and less bug-prone
implementations. The source code for this document can be
found at https://github.com/namedtensor/notation/. We invite
anyone to make comments on this proposal by submitting
issues or pull requests on this repository.",
month = feb,
year = 2021,
url = "http://arxiv.org/abs/2102.13196",
journal = "arXiv",
eprint = "2102.13196",
primaryClass = "cs.LG",
arxivid = "2102.13196"
}
@BOOK{Murphy2022-nc,
title = "Probabilistic Machine Learning: An introduction",
author = "Murphy, Kevin P",
editor = "Dietterich, Thomas and Bishop, Christopher and Heckerman, David
and Jordan, Michael and Kearns, Michael",
publisher = "MIT Press",
year = 2022,
address = "Cambridge",
isbn = "10987654321"
}
@ARTICLE{Kingma2014-cz,
title = "Adam: A Method for Stochastic Optimization",
author = "Kingma, Diederik P and Ba, Jimmy",
abstract = "We introduce Adam, an algorithm for first-order
gradient-based optimization of stochastic objective
functions, based on adaptive estimates of lower-order
moments. The method is straightforward to implement, is
computationally efficient, has little memory requirements,
is invariant to diagonal rescaling of the gradients, and is
well suited for problems that are large in terms of data
and/or parameters. The method is also appropriate for
non-stationary objectives and problems with very noisy
and/or sparse gradients. The hyper-parameters have intuitive
interpretations and typically require little tuning. Some
connections to related algorithms, on which Adam was
inspired, are discussed. We also analyze the theoretical
convergence properties of the algorithm and provide a regret
bound on the convergence rate that is comparable to the best
known results under the online convex optimization
framework. Empirical results demonstrate that Adam works
well in practice and compares favorably to other stochastic
optimization methods. Finally, we discuss AdaMax, a variant
of Adam based on the infinity norm.",
month = dec,
year = 2014,
url = "http://arxiv.org/abs/1412.6980",
journal = "arXiv",
eprint = "1412.6980",
primaryClass = "cs.LG",
arxivid = "1412.6980"
}
@INCOLLECTION{Van_Vliet1998-jk,
title = "Digital fluorescence imaging using cooled {CCD} array cameras
invisible",
booktitle = "Cell Biology",
author = "van Vliet, L J and Sudar, D and Young, I T",
editor = "Celis, J E",
abstract = "The progress in solid state technologies has led to a range of
CCD cameras from inexpensive video cameras to expensive
scientific digital camera systems. The best choice (best value
for money) depends heavily on the application. A state-ofthe-art
camera's performance is limited by the fundamental laws of
nature. The various noise sources (photon statistics, thermal,
readout and quantization) are examined to help you understand
some specific operating conditions such as cooling and the
choice of readout rates.",
publisher = "Academic Press",
volume = 3,
pages = "109--120",
year = 1998,
address = "New York"
}
@ARTICLE{Stallinga2010-yi,
title = "Accuracy of the gaussian point spread function model in {2D}
localization microscopy",
author = "Stallinga, Sjoerd and Rieger, Bernd",
abstract = "The gaussian function is simple and easy to implement as Point
Spread Function (PSF) model for fitting the position of
fluorescent emitters in localization microscopy. Despite its
attractiveness the appropriateness of the gaussian is
questionable as it is not based on the laws of optics. Here we
study the effect of emission dipole orientation in conjunction
with optical aberrations on the localization accuracy of
position estimators based on a gaussian model PSF. Simulated
image spots, calculated with all effects of high numerical
aperture, interfaces between media, polarization, dipole
orientation and aberrations taken into account, were fitted with
a gaussian PSF based Maximum Likelihood Estimator. For freely
rotating dipole emitters it is found that the gaussian works
fine. The same, theoretically optimum, localization accuracy is
found as if the true PSF were a gaussian, even for aberrations
within the usual tolerance limit of high-end optical imaging
systems such as microscopes (Marechal's diffraction limit). For
emitters with a fixed dipole orientation this is not the case.
Localization errors are found that reach up to 40 nm for typical
system parameters and aberration levels at the diffraction
limit. These are systematic errors that are independent of the
total photon count in the image. The gaussian function is
therefore inappropriate, and more sophisticated PSF models are a
practical necessity.",
journal = "Opt. Express",
publisher = "Optical Society of America",
volume = 18,
number = 24,
pages = "24461--24476",
month = nov,
year = 2010,
language = "en",
issn = "1094-4087",
pmid = "21164793",
doi = "10.1364/OE.18.024461"
}
@ARTICLE{Haga2011-kh,
title = "Dual-view imaging system using a wide-range dichroic mirror for
simultaneous four-color single-molecule detection",
author = "Haga, Takanobu and Takahashi, Satoshi and Sonehara, Tsuyoshi and
Kumazaki, Nobutaka and Anazawa, Takashi",
abstract = "A dual-view imaging system for simultaneous four-color
single-molecule (SM) detection was developed. As for the
detection procedure, four species of SM fluorophores, namely,
Alexa 488, 555, 647, and 680, are immobilized on different
slides and excited by evanescent-wave illumination. Fluorescence
emitted from an SM fluorophore is split by a wide-range dichroic
mirror (WR DM) in a dual-view optics and imaged as two SM
fluorescence spots (SM spots) on an electron-multiplying
charge-coupled device (EM-CCD) at 100 Hz. The transmittance of
the WR DM changes gradually over the wavelength range of 500 to
700 nm so that the signal ratios of the two SM spots for the
four fluorophore species differ. A method for classifying SM
fluorophores into four species in accordance with their signal
ratios was developed. It was used to classify 597 SM
fluorophores at an accuracy of above 98\% for all the species.
This accuracy is comparable to that of a conventional four-color
SM detection system. To classify four species, the conventional
system disperses SM fluorescence with a prism and provides an
elongated SM spot that uses more pixels of an EM-CCD chip than
that of the developed system. The developed system can thus
detect 1.5-fold more SM spots with the same-size EM-CCD chip, so
it can achieve 1.5-fold higher throughput. Moreover, the
developed system is based on a simple and practical approach,
namely, replacing an ordinary dichroic mirror in a commercially
available dual-view optics with a WR DM. This replacement
transforms a dual-view imaging system for two-color detection
into a system for four-color detection. The developed system is
suitable for detection systems of next-generation DNA sequencers
and DNA microarray-chip analyzers.",
journal = "Anal. Chem.",
publisher = "ACS Publications",
volume = 83,
number = 18,
pages = "6948--6955",
month = sep,
year = 2011,
language = "en",
issn = "0003-2700, 1520-6882",
pmid = "21805964",
doi = "10.1021/ac2000797"
}
@BOOK{Gelman2013-ro,
title = "Bayesian Data Analysis, Third Edition",
author = "Gelman, Andrew and Carlin, John B and Stern, Hal S and Dunson,
David B and Vehtari, Aki and Rubin, Donald B",
abstract = "Now in its third edition, this classic book is widely considered
the leading text on Bayesian methods, lauded for its accessible,
practical approach to analyzing data and solving research
problems. Bayesian Data Analysis, Third Edition continues to
take an applied approach to analysis using up-to-date Bayesian
methods. The authors---all leaders in the statistics
community---introduce basic concepts from a data-analytic
perspective before presenting advanced methods. Throughout the
text, numerous worked examples drawn from real applications and
research emphasize the use of Bayesian inference in practice.
New to the Third Edition Four new chapters on nonparametric
modeling Coverage of weakly informative priors and
boundary-avoiding priors Updated discussion of cross-validation
and predictive information criteria Improved convergence
monitoring and effective sample size calculations for iterative
simulation Presentations of Hamiltonian Monte Carlo, variational
Bayes, and expectation propagation New and revised software code
The book can be used in three different ways. For undergraduate
students, it introduces Bayesian inference starting from first
principles. For graduate students, the text presents effective
current approaches to Bayesian modeling and computation in
statistics and related fields. For researchers, it provides an
assortment of Bayesian methods in applied statistics. Additional
materials, including data sets used in the examples, solutions
to selected exercises, and software instructions, are available
on the book's web page.",
publisher = "CRC Press",
series = "Chapman \& Hall/CRC Texts in Statistical Science",
edition = 3,
month = nov,
year = 2013,
address = "Philadelphia, PA",
language = "en",
isbn = "9781439840955"
}
@ARTICLE{Quan2011-px,
title = "High-density localization of active molecules using Structured
Sparse Model and Bayesian Information Criterion",
author = "Quan, Tingwei and Zhu, Hongyu and Liu, Xiaomao and Liu, Yongfeng
and Ding, Jiuping and Zeng, Shaoqun and Huang, Zhen-Li",
abstract = "Localization-based super-resolution microscopy (or called
localization microscopy) rely on repeated imaging and
localization of active molecules, and the spatial resolution
enhancement of localization microscopy is built upon the
sacrifice of its temporal resolution. Developing algorithms for
high-density localization of active molecules is a promising
approach to increase the speed of localization microscopy. Here
we present a new algorithm called SSM\_BIC for such purpose. The
SSM\_BIC combines the advantages of the Structured Sparse Model
(SSM) and the Bayesian Information Criterion (BIC). Through
simulation and experimental studies, we evaluate systematically
the performance between the SSM\_BIC and the conventional Sparse
algorithm in high-density localization of active molecules. We
show that the SSM\_BIC is superior in processing single molecule
images with weak signal embedded in strong background.",
journal = "Opt. Express",
volume = 19,
number = 18,
pages = "16963--16974",
month = aug,
year = 2011,
language = "en",
issn = "1094-4087",
pmid = "21935056",
doi = "10.1364/OE.19.016963"
}
@ARTICLE{Kubitscheck2000-gt,
title = "Imaging and tracking of single {GFP} molecules in solution",
author = "Kubitscheck, U and K{\"u}ckmann, O and Kues, T and Peters, R",
abstract = "Visualization and tracking of single fluorescent molecules is a
recent development in optical microscopy holding great promise
for the study of cell biological processes. However, all
experimental strategies realized so far confined the observation
to extremely thin interfacial layers. The detection and
characterization of single molecules in three-dimensionally
extended systems such as living cells has yet to be accomplished.
We show, here, for the first time that single protein molecules
can be visualized and tracked in three-dimensional (3D) samples
at room temperature. Using a wide-field fluorescence microscope
equipped with an Ar(+)-laser and a low-light-level CCD camera,
single molecules of the green fluorescent protein (GFP) were
detected in gels and viscous solutions at depths of up to
approximately 10 microm from the interface. A time resolution of
5 ms was achieved by a high-speed framing mode. The
two-dimensional localization accuracy was determined to be
approximately 30 nm. The number of photons emitted by single GFP
molecules before photodestruction was found to be < or = 4 *
10(5). Freely diffusing GFP molecules could be tracked over up to
nine images acquired at a frame rate of approximately 80 Hz. From
the trajectories, the diffusion coefficients of single GFP
molecules were derived and found to agree well with expectation
and microphotolysis measurements. Our results imply that the
visualization and tracking of single molecules in living cells is
possible.",
journal = "Biophys. J.",
volume = 78,
number = 4,
pages = "2170--2179",
month = apr,
year = 2000,
language = "en",
issn = "0006-3495",
pmid = "10733995",
doi = "10.1016/S0006-3495(00)76764-6",
pmc = "PMC1300809"
}
@ARTICLE{Rosen2020-zn,
title = "Dynamics of {RNA} polymerase {II} and elongation factor Spt4/5
recruitment during activator-dependent transcription",
author = "Rosen, Grace A and Baek, Inwha and Friedman, Larry J and Joo, Yoo
Jin and Buratowski, Stephen and Gelles, Jeff",
abstract = "In eukaryotes, RNA polymerase II (RNApII) transcribes messenger
RNA from template DNA. Decades of experiments have identified the
proteins needed for transcription activation, initiation complex
assembly, and productive elongation. However, the dynamics of
recruitment of these proteins to transcription complexes, and of
the transitions between these steps, are poorly understood. We
used multiwavelength single-molecule fluorescence microscopy to
directly image and quantitate these dynamics in a budding yeast
nuclear extract that reconstitutes activator-dependent
transcription in vitro. A strong activator (Gal4-VP16) greatly
stimulated reversible binding of individual RNApII molecules to
template DNA. Binding of labeled elongation factor Spt4/5 to DNA
typically followed RNApII binding, was NTP dependent, and was
correlated with association of mRNA binding protein Hek2,
demonstrating specificity of Spt4/5 binding to elongation
complexes. Quantitative kinetic modeling shows that only a
fraction of RNApII binding events are productive and implies a
rate-limiting step, probably associated with recruitment of
general transcription factors, needed to assemble a
transcription-competent preinitiation complex at the promoter.
Spt4/5 association with transcription complexes was slowly
reversible, with DNA-bound RNApII molecules sometimes binding and
releasing Spt4/5 multiple times. The average Spt4/5 residence
time was of similar magnitude to the time required to transcribe
an average length yeast gene. These dynamics suggest that a
single Spt4/5 molecule remains associated during a typical
transcription event, yet can dissociate from RNApII to allow
disassembly of abnormally long-lived (i.e., stalled) elongation
complexes.",
journal = "Proc. Natl. Acad. Sci. U. S. A.",
volume = 117,
number = 51,
pages = "32348--32357",
month = dec,
year = 2020,
language = "en",
issn = "0027-8424, 1091-6490",
pmid = "33293419",
doi = "10.1073/pnas.2011224117",
pmc = "PMC7768755"
}
@ARTICLE{Hoskins2011-md,
title = "Ordered and dynamic assembly of single spliceosomes",
author = "Hoskins, Aaron A and Friedman, Larry J and Gallagher, Sarah S and
Crawford, Daniel J and Anderson, Eric G and Wombacher, Richard
and Ramirez, Nicholas and Cornish, Virginia W and Gelles, Jeff
and Moore, Melissa J",
abstract = "The spliceosome is the complex macromolecular machine responsible
for removing introns from precursors to messenger RNAs
(pre-mRNAs). We combined yeast genetic engineering, chemical
biology, and multiwavelength fluorescence microscopy to follow
assembly of single spliceosomes in real time in whole-cell
extracts. We find that individual spliceosomal subcomplexes
associate with pre-mRNA sequentially via an ordered pathway to
yield functional spliceosomes and that association of every
subcomplex is reversible. Further, early subcomplex binding
events do not fully commit a pre-mRNA to splicing; rather,
commitment increases as assembly proceeds. These findings have
important implications for the regulation of alternative
splicing. This experimental strategy should prove widely useful
for mechanistic analysis of other macromolecular machines in
environments approaching the complexity of living cells.",
journal = "Science",
volume = 331,
number = 6022,
pages = "1289--1295",
month = mar,
year = 2011,
language = "en",
issn = "0036-8075, 1095-9203",
pmid = "21393538",
doi = "10.1126/science.1198830",
pmc = "PMC3086749"
}
@ARTICLE{Van_de_Meent2018-mi,
title = "An Introduction to Probabilistic Programming",
author = "van de Meent, Jan-Willem and Paige, Brooks and Yang,
Hongseok and Wood, Frank",
abstract = "This document is designed to be a first-year graduate-level
introduction to probabilistic programming. It not only
provides a thorough background for anyone wishing to use a
probabilistic programming system, but also introduces the
techniques needed to design and build these systems. It is
aimed at people who have an undergraduate-level
understanding of either or, ideally, both probabilistic
machine learning and programming languages. We start with a
discussion of model-based reasoning and explain why
conditioning as a foundational computation is central to the
fields of probabilistic machine learning and artificial
intelligence. We then introduce a simple first-order
probabilistic programming language (PPL) whose programs
define static-computation-graph, finite-variable-cardinality
models. In the context of this restricted PPL we introduce
fundamental inference algorithms and describe how they can
be implemented in the context of models denoted by
probabilistic programs. In the second part of this document,
we introduce a higher-order probabilistic programming
language, with a functionality analogous to that of
established programming languages. This affords the
opportunity to define models with dynamic computation
graphs, at the cost of requiring inference methods that
generate samples by repeatedly executing the program.
Foundational inference algorithms for this kind of
probabilistic programming language are explained in the
context of an interface between program executions and an
inference controller. This document closes with a chapter on
advanced topics which we believe to be, at the time of
writing, interesting directions for probabilistic
programming research; directions that point towards a tight
integration with deep neural network research and the
development of systems for next-generation artificial
intelligence applications.",
month = sep,
year = 2018,
url = "http://arxiv.org/abs/1809.10756",
journal = "arXiv",
eprint = "1809.10756",
primaryClass = "stat.ML",
arxivid = "1809.10756"
}
@ARTICLE{Sarkka2019-jw,
title = "Temporal Parallelization of Bayesian Smoothers",
author = "S{\"a}rkk{\"a}, Simo and Garc{\'\i}a-Fern{\'a}ndez,
{\'A}ngel F",
abstract = "This paper presents algorithms for temporal parallelization
of Bayesian smoothers. We define the elements and the
operators to pose these problems as the solutions to
all-prefix-sums operations for which efficient parallel
scan-algorithms are available. We present the temporal
parallelization of the general Bayesian filtering and
smoothing equations and specialize them to linear/Gaussian
models. The advantage of the proposed algorithms is that
they reduce the linear complexity of standard smoothing
algorithms with respect to time to logarithmic.",
month = may,
year = 2019,
url = "http://arxiv.org/abs/1905.13002",
journal = "arXiv",
eprint = "1905.13002",
primaryClass = "stat.CO",
arxivid = "1905.13002"
}
@ARTICLE{Sgouralis2019-rt,
title = "A Bayesian Nonparametric Approach to Single Molecule F{\"o}rster
Resonance Energy Transfer",
author = "Sgouralis, Ioannis and Madaan, Shreya and Djutanta, Franky and
Kha, Rachael and Hariadi, Rizal F and Press{\'e}, Steve",
abstract = "We develop a Bayesian nonparametric framework to analyze single
molecule FRET (smFRET) data. This framework, a variation on
infinite hidden Markov models, goes beyond traditional hidden
Markov analysis, which already treats photon shot noise, in three
critical ways: (1) it learns the number of molecular states
present in a smFRET time trace (a hallmark of nonparametric
approaches), (2) it accounts, simultaneously and
self-consistently, for photophysical features of donor and
acceptor fluorophores (blinking kinetics, spectral cross-talk,
detector quantum efficiency), and (3) it treats background
photons. Point 2 is essential in reducing the tendency of
nonparametric approaches to overinterpret noisy single molecule
time traces and so to estimate states and transition kinetics
robust to photophysical artifacts. As a result, with the proposed
framework, we obtain accurate estimates of single molecule
properties even when the supplied traces are excessively noisy,
subject to photoartifacts, and of short duration. We validate our
method using synthetic data sets and demonstrate its
applicability to real data sets from single molecule experiments
on Holliday junctions labeled with conventional fluorescent dyes.",
journal = "J. Phys. Chem. B",
volume = 123,
number = 3,
pages = "675--688",
month = jan,
year = 2019,
language = "en",
issn = "1520-6106",
pmid = "30571128",
doi = "10.1021/acs.jpcb.8b09752",
pmc = "PMC6821439"
}
@ARTICLE{Roy2008-fo,
title = "A practical guide to single-molecule {FRET}",
author = "Roy, Rahul and Hohng, Sungchul and Ha, Taekjip",
abstract = "Single-molecule fluorescence resonance energy transfer (smFRET)
is one of the most general and adaptable single-molecule
techniques. Despite the explosive growth in the application of
smFRET to answer biological questions in the last decade, the
technique has been practiced mostly by biophysicists. We provide
a practical guide to using smFRET, focusing on the study of
immobilized molecules that allow measurements of single-molecule
reaction trajectories from 1 ms to many minutes. We discuss
issues a biologist must consider to conduct successful smFRET
experiments, including experimental design, sample preparation,
single-molecule detection and data analysis. We also describe
how a smFRET-capable instrument can be built at a reasonable
cost with off-the-shelf components and operated reliably using
well-established protocols and freely available software.",
journal = "Nat. Methods",
publisher = "nature.com",
volume = 5,
number = 6,
pages = "507--516",
month = jun,
year = 2008,
language = "en",
issn = "1548-7091, 1548-7105",
pmid = "18511918",
doi = "10.1038/nmeth.1208",
pmc = "PMC3769523"
}
@ARTICLE{Zhang2007-rb,
title = "Gaussian approximations of fluorescence microscope point-spread
function models",
author = "Zhang, Bo and Zerubia, Josiane and Olivo-Marin, Jean-Christophe",
abstract = "We comprehensively study the least-squares Gaussian
approximations of the diffraction-limited 2D-3D
paraxial-nonparaxial point-spread functions (PSFs) of the wide
field fluorescence microscope (WFFM), the laser scanning confocal
microscope (LSCM), and the disk scanning confocal microscope
(DSCM). The PSFs are expressed using the Debye integral. Under an
L(infinity) constraint imposing peak matching, optimal and
near-optimal Gaussian parameters are derived for the PSFs. With
an L1 constraint imposing energy conservation, an optimal
Gaussian parameter is derived for the 2D paraxial WFFM PSF. We
found that (1) the 2D approximations are all very accurate; (2)
no accurate Gaussian approximation exists for 3D WFFM PSFs; and
(3) with typical pinhole sizes, the 3D approximations are
accurate for the DSCM and nearly perfect for the LSCM. All the
Gaussian parameters derived in this study are in explicit
analytical form, allowing their direct use in practical
applications.",
journal = "Appl. Opt.",
volume = 46,
number = 10,
pages = "1819--1829",
month = apr,
year = 2007,
language = "en",
issn = "0003-6935",
pmid = "17356626",
doi = "10.1364/ao.46.001819"
}
% The entry below contains non-ASCII chars that could not be converted
% to a LaTeX equivalent.
@ARTICLE{Zhang2015-xn,
title = "Ultrahigh-throughput single-molecule spectroscopy and spectrally
resolved super-resolution microscopy",
author = "Zhang, Zhengyang and Kenny, Samuel J and Hauser, Margaret and Li,
Wan and Xu, Ke",
abstract = "By developing a wide-field scheme for spectral measurement and
implementing photoswitching, we synchronously obtained the
fluorescence spectra and positions of ∼10(6) single molecules in
labeled cells in minutes, which consequently enabled spectrally
resolved, 'true-color' super-resolution microscopy. The method,
called spectrally resolved stochastic optical reconstruction
microscopy (SR-STORM), achieved cross-talk-free three-dimensional
(3D) imaging for four dyes 10 nm apart in emission spectrum.
Excellent resolution was obtained for every channel, and 3D
localizations of all molecules were automatically aligned within
one imaging path.",
journal = "Nat. Methods",
volume = 12,
number = 10,
pages = "935--938",
month = oct,
year = 2015,
language = "en",
issn = "1548-7091, 1548-7105",
pmid = "26280329",
doi = "10.1038/nmeth.3528"
}
@ARTICLE{Chistol2015-sc,
title = "{Single-Molecule} Visualization of {MCM2-7} {DNA} Loading: Seeing
Is Believing",
author = "Chistol, Gheorghe and Walter, Johannes C",
abstract = "The first event in the initiation of eukaryotic DNA replication
is the recruitment of the MCM2-7 ATPase, the core of the
replicative DNA helicase, to origins. Ticau et al. use
single-molecule imaging to reveal how ORC, Cdc6, and Cdt1
cooperate to load MCM2-7 onto DNA, enabling bidirectional
replication.",
journal = "Cell",
volume = 161,
number = 3,
pages = "429--430",
month = apr,
year = 2015,
language = "en",
issn = "0092-8674, 1097-4172",
pmid = "25910200",
doi = "10.1016/j.cell.2015.04.006"
}
@ARTICLE{Perkel2015-vw,
title = "{SINGLE} {MOLECULE} {ENZYMOLOGY} {FINDS} {ITS} {STRIDE}",
author = "Perkel, Jeffrey",
abstract = "More techniques aimed at probing the nature of single molecules
are being developed and advanced in biophysics labs. Jeffrey
Perkel takes a look at the scientists leading the charge into the
micro-world.",
journal = "Biotechniques",
volume = 59,
number = 4,
pages = "183--4, 186--7",
month = oct,
year = 2015,
language = "en",
issn = "0736-6205, 1940-9818",
pmid = "26458545",
doi = "10.2144/000114337"
}
@ARTICLE{Gourse2012-ke,
title = "{CoSMoS} unravels mysteries of transcription initiation",
author = "Gourse, Richard L and Landick, Robert",
abstract = "Using a fluorescence method called colocalization single-molecule
spectroscopy (CoSMoS), Friedman and Gelles dissect the kinetics
of transcription initiation at a bacterial promoter. Ultimately,
CoSMoS could greatly aid the study of the effects of DNA sequence
and transcription factors on both prokaryotic and eukaryotic
promoters.",
journal = "Cell",
volume = 148,
number = 4,
pages = "635--637",
month = feb,
year = 2012,
language = "en",
issn = "0092-8674, 1097-4172",
pmid = "22341438",
doi = "10.1016/j.cell.2012.01.042",
pmc = "PMC3681408"
}
@ARTICLE{Tetone2017-za,
title = "Dynamics of {GreB-RNA} polymerase interaction allow a
proofreading accessory protein to patrol for transcription
complexes needing rescue",
author = "Tetone, Larry E and Friedman, Larry J and Osborne, Melisa L and
Ravi, Harini and Kyzer, Scotty and Stumper, Sarah K and Mooney,
Rachel A and Landick, Robert and Gelles, Jeff",
abstract = "The secondary channel (SC) of multisubunit RNA polymerases
(RNAPs) allows access to the active site and is a nexus for the
regulation of transcription. Multiple regulatory proteins bind in
the SC and reprogram the catalytic activity of RNAP, but the
dynamics of these factors' interactions with RNAP and how they
function without cross-interference are unclear. In Escherichia
coli, GreB is an SC protein that promotes proofreading by
transcript cleavage in elongation complexes backtracked by
nucleotide misincorporation. Using multiwavelength
single-molecule fluorescence microscopy, we observed the dynamics
of GreB interactions with elongation complexes. GreB binds to
actively elongating complexes at nearly diffusion-limited rates
but remains bound for only 0.3-0.5 s, longer than the duration of
the nucleotide addition cycle but far shorter than the time
needed to synthesize a complete mRNA. Bound GreB inhibits
transcript elongation only partially. To test whether GreB
preferentially binds backtracked complexes, we reconstituted
complexes stabilized in backtracked and nonbacktracked
configurations. By verifying the functional state of each
molecular complex studied, we could exclude models in which GreB
is selectively recruited to backtracked complexes or is ejected
from RNAP by catalytic turnover. Instead, GreB binds rapidly and
randomly to elongation complexes, patrolling for those requiring
nucleolytic rescue, and its short residence time minimizes RNAP
inhibition. The results suggest a general mechanism by which SC
factors may cooperate to regulate RNAP while minimizing mutual
interference.",
journal = "Proc. Natl. Acad. Sci. U. S. A.",
volume = 114,
number = 7,
pages = "E1081--E1090",
month = feb,
year = 2017,
language = "en",
issn = "0027-8424, 1091-6490",
pmid = "28137878",
doi = "10.1073/pnas.1616525114",
pmc = "PMC5320998"
}
@ARTICLE{Smith2013-of,
title = "Pathway of actin filament branch formation by Arp2/3 complex
revealed by single-molecule imaging",
author = "Smith, Benjamin A and Daugherty-Clarke, Karen and Goode, Bruce L
and Gelles, Jeff",
abstract = "Actin filament nucleation by actin-related protein (Arp) 2/3
complex is a critical process in cell motility and endocytosis,
yet key aspects of its mechanism are unknown due to a lack of
real-time observations of Arp2/3 complex through the nucleation
process. Triggered by the verprolin homology, central, and acidic
(VCA) region of proteins in the Wiskott-Aldrich syndrome protein
(WASp) family, Arp2/3 complex produces new (daughter) filaments
as branches from the sides of preexisting (mother) filaments. We
visualized individual fluorescently labeled Arp2/3 complexes
dynamically interacting with and producing branches on growing
actin filaments in vitro. Branch formation was strikingly
inefficient, even in the presence of VCA: only ~1\% of
filament-bound Arp2/3 complexes yielded a daughter filament. VCA
acted at multiple steps, increasing both the association rate of
Arp2/3 complexes with mother filament and the fraction of
filament-bound complexes that nucleated a daughter. The results
lead to a quantitative kinetic mechanism for branched actin
assembly, revealing the steps that can be stimulated by
additional cellular factors.",
journal = "Proc. Natl. Acad. Sci. U. S. A.",
volume = 110,
number = 4,
pages = "1285--1290",
month = jan,
year = 2013,
language = "en",
issn = "0027-8424, 1091-6490",
pmid = "23292935",
doi = "10.1073/pnas.1211164110",
pmc = "PMC3557048"
}
@ARTICLE{Crawford2008-yx,
title = "Visualizing the splicing of single {pre-mRNA} molecules in whole
cell extract",
author = "Crawford, Daniel J and Hoskins, Aaron A and Friedman, Larry J and
Gelles, Jeff and Moore, Melissa J",
abstract = "The excision of introns from nascent eukaryotic transcripts is
catalyzed by the spliceosome, a highly complex and dynamic
macromolecular machine composed of RNA and protein. Because of
its complexity, biochemical analysis of the spliceosome has been
previously limited to bulk assays in largely unfractionated cell
extracts. We now report development of methodologies for studying
the splicing of isolated single pre-mRNA molecules in real time.
In this system, a fluorescently tagged pre-mRNA is tethered to a
glass surface via its 3'-end. Splicing can be observed in
Saccharomyces cerevisiae whole cell extract by monitoring loss of
intron-specific fluorescence with a multi-wavelength total
internal reflection fluorescence (TIRF) microscope. To prolong
fluorophore lifetime, two enzyme-based O2 scavenging systems
compatible with splicing were also developed. This work provides
a powerful new approach for elucidating the mechanisms of
spliceosome function and demonstrates the feasibility of
utilizing TIRF microscopy for biochemical studies of single
molecules in highly complex environments.",
journal = "RNA",
volume = 14,
number = 1,
pages = "170--179",
month = jan,
year = 2008,
language = "en",
issn = "1355-8382, 1469-9001",
pmid = "18025254",
doi = "10.1261/rna.794808",
pmc = "PMC2151038"
}
@ARTICLE{Smith2014-rh,
title = "Single-molecule studies of actin assembly and disassembly factors",
author = "Smith, Benjamin A and Gelles, Jeff and Goode, Bruce L",
abstract = "The actin cytoskeleton is very dynamic and highly regulated by
multiple associated proteins in vivo. Understanding how this
system of proteins functions in the processes of actin network
assembly and disassembly requires methods to dissect the
mechanisms of activity of individual factors and of multiple
factors acting in concert. The advent of single-filament and
single-molecule fluorescence imaging methods has provided a
powerful new approach to discovering actin-regulatory activities
and obtaining direct, quantitative insights into the pathways of
molecular interactions that regulate actin network architecture
and dynamics. Here we describe techniques for acquisition and
analysis of single-molecule data, applied to the novel challenges
of studying the filament assembly and disassembly activities of
actin-associated proteins in vitro. We discuss the advantages of
single-molecule analysis in directly visualizing the order of
molecular events, measuring the kinetic rates of filament binding
and dissociation, and studying the coordination among multiple
factors. The methods described here complement traditional
biochemical approaches in elucidating actin-regulatory mechanisms
in reconstituted filamentous networks.",
journal = "Methods Enzymol.",
volume = 540,
pages = "95--117",
year = 2014,
language = "en",
issn = "0076-6879, 1557-7988",
pmid = "24630103",
doi = "10.1016/B978-0-12-397924-7.00006-6",
pmc = "PMC4037564"
}
@ARTICLE{Hellen1987-we,
title = "Fluorescence emission at dielectric and metal-film interfaces",
author = "Hellen, Edward H and Axelrod, Daniel",
abstract = "It is well known that the classical optical properties of a bare
or metal-film-coated dielectric surface significantly the
emission pattern of a fluorophore in close proximity to it. Most
previous classical calculations of this perturb model the
fluorophore as a continuous fixed-amplitude dipole acting as a
simple radiator. However, for effect modeling steady-state
excitation, a fixed-power dipole is more appropriate. This
modification corresponds to normalizing fixed-amplitude dipole
intensities by the total dissipated power, which is itself
dependent on fluorophore orientation and proximity to the
surface. The results for the fixed-power model differ
nontrivially from the fixed-amplitude model. Using the
fixed-power dipole model, we calculate the
observation-angle-dependent intensity as a function of the
fluorophore's orientation and distance from the surface. The
surface can have an intermediate layer of arbitrary thickness on
it, which is used to model a metal-film-coated dielectric. In
addition, general expressions are derived for the emission power
as observed through a circular-aperture collection system (such
as a microscope objective) located on either side of the
interface. These expressions are applied to several common cases
of fluorophore spatial and orientational distributions at bare
glass--water and metal-film-coated glass-water interfaces. The
results suggest practical experimental approaches for measuring
the spatial and orientational distribution of fluorophores
adsorbed at a surface, utilizing the distance-dependent
fluorescence near a metalized surface and optimizing the
collection efficiency from a well-defined volume near a
quenching surface.",
journal = "J. Opt. Soc. Am. B, JOSAB",
publisher = "Optical Society of America",
volume = 4,
number = 3,
pages = "337--350",
month = mar,
year = 1987,
language = "en",
issn = "1520-8540",
doi = "10.1364/JOSAB.4.000337"
}
@ARTICLE{Larson2014-os,
title = "Design and construction of a multiwavelength, micromirror total
internal reflectance fluorescence microscope",
author = "Larson, Joshua and Kirk, Matt and Drier, Eric A and O'Brien,
William and MacKay, James F and Friedman, Larry J and Hoskins,
Aaron A",
abstract = "Colocalization single-molecule spectroscopy (CoSMoS) has proven
to be a useful method for studying the composition, kinetics and
mechanisms of complex cellular machines. Key to the technique is
the ability to simultaneously monitor multiple proteins and/or
nucleic acids as they interact with one another. Here we describe
a protocol for constructing a CoSMoS micromirror total internal
reflection fluorescence microscope (mmTIRFM). Design and
construction of a scientific microscope often requires a number
of custom components and a substantial time commitment. In our
protocol, we have streamlined this process by implementation of a
commercially available microscopy platform designed to
accommodate the optical components necessary for an mmTIRFM. The
mmTIRF system eliminates the need for machining custom parts by
the end user and facilitates optical alignment. Depending on the
experience level of the microscope builder, these time savings
and the following protocol can enable mmTIRF construction to be
completed within 2 months.",
journal = "Nat. Protoc.",
volume = 9,
number = 10,
pages = "2317--2328",
month = oct,
year = 2014,
language = "en",
issn = "1754-2189",
pmid = "25188633",
doi = "10.1038/nprot.2014.155",
pmc = "PMC4648537"
}
@ARTICLE{Rubin-Delanchy2015-qg,
title = "Bayesian cluster identification in single-molecule localization
microscopy data",
author = "Rubin-Delanchy, Patrick and Burn, Garth L and Griffi{\'e},
Juliette and Williamson, David J and Heard, Nicholas A and Cope,
Andrew P and Owen, Dylan M",
abstract = "Single-molecule localization-based super-resolution microscopy
techniques such as photoactivated localization microscopy (PALM)
and stochastic optical reconstruction microscopy (STORM) produce
pointillist data sets of molecular coordinates. Although many
algorithms exist for the identification and localization of
molecules from raw image data, methods for analyzing the
resulting point patterns for properties such as clustering have
remained relatively under-studied. Here we present a model-based
Bayesian approach to evaluate molecular cluster assignment
proposals, generated in this study by analysis based on Ripley's
K function. The method takes full account of the individual
localization precisions calculated for each emitter. We validate
the approach using simulated data, as well as experimental data
on the clustering behavior of CD3$\zeta$, a subunit of the CD3 T
cell receptor complex, in resting and activated primary human T
cells.",
journal = "Nat. Methods",
volume = 12,
number = 11,
pages = "1072--1076",
month = nov,
year = 2015,
language = "en",
issn = "1548-7091, 1548-7105",
pmid = "26436479",
doi = "10.1038/nmeth.3612"