@article {69848, title = {A Bayesian Model to Count the Number of Two-State Emitters in a Diffraction Limited Spot.}, journal = {Nano Lett}, year = {2025}, month = {2025 Apr 04}, abstract = {

We address the problem of inferring the number of independently blinking fluorescent light emitters, when only their combined intensity contributions can be observed. This problem occurs regularly in light microscopy of objects smaller than the diffraction limit, where one wishes to count the number of fluorescently labeled subunits. Our proposed solution directly models the photophysics of the system, as well as the blinking kinetics of the fluorescent emitters as a fully differentiable hidden Markov model, estimating a posterior distribution of the total number of emitters. We show that our model is more accurate and increases the range of countable subunits by a factor of 2 compared to current state-of-the-art methods. Furthermore, we demonstrate that our model can be used to investigate the effect of blinking kinetics on counting ability and therefore can inform optimal experimental conditions.

}, issn = {1530-6992}, doi = {10.1021/acs.nanolett.4c06304}, url = {https://doi.org/10.1021/acs.nanolett.4c06304}, author = {Hillsley, Alexander and Stein, Johannes and Tillberg, Paul W and Stern, David L and Funke, Jan} } @article {69841, title = {DELTA: a method for brain-wide measurement of synaptic protein turnover reveals localized plasticity during learning.}, journal = {Nat Neurosci}, year = {2025}, month = {2025 Mar 31}, abstract = {

Synaptic plasticity alters neuronal connections in response to experience, which is thought to underlie learning and memory. However, the loci of learning-related synaptic plasticity, and the degree to which plasticity is localized or distributed, remain largely unknown. Here we describe a new method, DELTA, for mapping brain-wide changes in synaptic protein turnover with single-synapse resolution, based on Janelia Fluor dyes and HaloTag knock-in mice. During associative learning, the turnover of the ionotropic glutamate receptor subunit GluA2, an indicator of synaptic plasticity, was enhanced in several brain regions, most markedly hippocampal area CA1. More broadly distributed increases in the turnover of synaptic proteins were observed in response to environmental enrichment. In CA1, GluA2 stability was regulated in an input-specific manner, with more turnover in layers containing input from CA3 compared to entorhinal cortex. DELTA will facilitate exploration of the molecular and circuit basis of learning and memory and other forms of plasticity at scales ranging from single synapses to the entire brain.

}, issn = {1546-1726}, doi = {10.1038/s41593-025-01923-4}, url = {https://doi.org/10.1038/s41593-025-01923-4}, author = {Mohar, Boaz and Michel, Gabriela and Wang, Yi-Zhi and Hernandez, Veronica and Grimm, Jonathan B and Park, Jin-Yong and Patel, Ronak and Clarke, Morgan and Brown, Timothy A and Bergmann, Cornelius and Gebis, Kamil K and Wilen, Anika P and Liu, Bian and Johnson, Richard and Graves, Austin and Tchumatchenko, Tatjana and Savas, Jeffrey N and Fornasiero, Eugenio F and Huganir, Richard L and Tillberg, Paul W and Lavis, Luke D and Svoboda, Karel and Spruston, Nelson} } @article {68772, title = {Glutamate indicators with improved activation kinetics and localization for imaging synaptic transmission.}, journal = {Nature Methods}, volume = {20}, year = {2023}, month = {2023 Jun 01}, abstract = {

The fluorescent glutamate indicator iGluSnFR enables imaging of neurotransmission with genetic and molecular specificity. However, existing iGluSnFR variants exhibit low in vivo signal-to-noise ratios, saturating activation kinetics and exclusion from postsynaptic densities. Using a multiassay screen in bacteria, soluble protein and cultured neurons, we generated variants with improved signal-to-noise ratios and kinetics. We developed surface display constructs that improve iGluSnFR{\textquoteright}s nanoscopic localization to postsynapses. The resulting indicator iGluSnFR3 exhibits rapid nonsaturating activation kinetics and reports synaptic glutamate release with decreased saturation and increased specificity versus extrasynaptic signals in cultured neurons. Simultaneous imaging and electrophysiology at individual boutons in mouse visual cortex showed that iGluSnFR3 transients report single action potentials with high specificity. In vibrissal sensory cortex layer 4, we used iGluSnFR3 to characterize distinct patterns of touch-evoked feedforward input from thalamocortical boutons and both feedforward and recurrent input onto L4 cortical neuron dendritic spines.

}, issn = {1548-7105}, doi = {10.1038/s41592-023-01863-6}, author = {Aggarwal, Abhi and Liu, Rui and Chen, Yang and Ralowicz, Amelia J and Bergerson, Samuel J and Tomaska, Filip and Mohar, Boaz and Hanson, Timothy L and Hasseman, Jeremy P and Reep, Daniel and Tsegaye, Getahun and Yao, Pantong and Ji, Xiang and Kloos, Marinus and Walpita, Deepika and Patel, Ronak and Mohr, Manuel A and Tillberg, Paul W and Looger, Loren L and Marvin, Jonathan S and Hoppa, Michael B and Konnerth, Arthur and Kleinfeld, David and Schreiter, Eric R and Podgorski, Kaspar} } @article {68884, title = {Ten-fold Robust Expansion Microscopy.}, journal = {Bio-Protocol}, volume = {13}, year = {2023}, month = {2023 Jun 20}, pages = {e4698}, abstract = {

Expansion microscopy (ExM) is a powerful technique to overcome the diffraction limit of light microscopy that can be applied in both tissues and cells. In ExM, samples are embedded in a swellable polymer gel to physically expand the sample and isotropically increase resolution in x, y, and z. By systematic exploration of the ExM recipe space, we developed a novel ExM method termed Ten-fold Robust Expansion Microscopy (TREx) that, as the original ExM method, requires no specialized equipment or procedures. TREx enables ten-fold expansion of both thick mouse brain tissue sections and cultured human cells, can be handled easily, and enables high-resolution subcellular imaging with a single expansion step. Furthermore, TREx can provide ultrastructural context to subcellular protein localization by combining antibody-stained samples with off-the-shelf small molecule stains for both total protein and membranes.

}, issn = {2331-8325}, doi = {10.21769/BioProtoc.4698}, author = {Damstra, Hugo G J and Mohar, Boaz and Eddison, Mark and Akhmanova, Anna and Kapitein, Lukas C and Tillberg, Paul W} } @article {67815, title = {EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization.}, journal = {Cell}, volume = {184}, year = {2021}, month = {2021 Dec 01}, pages = {6361}, abstract = {

Determining the spatial organization and morphological characteristics of molecularly defined cell types is a major bottleneck for characterizing the architecture underpinning brain function. We developed Expansion-Assisted Iterative Fluorescence In Situ Hybridization (EASI-FISH) to survey gene expression in brain tissue, as well as a turnkey computational pipeline to rapidly process large EASI-FISH image datasets. EASI-FISH was optimized for thick brain sections (300\ μm) to facilitate reconstruction of spatio-molecular domains that generalize across brains. Using the EASI-FISH pipeline, we investigated the spatial distribution of dozens of molecularly defined cell types in the lateral hypothalamic area (LHA), a brain region with poorly defined anatomical organization. Mapping cell types in the LHA revealed nine spatially and molecularly defined subregions. EASI-FISH also facilitates iterative reanalysis of scRNA-seq datasets to determine marker-genes that further dissociated spatial and morphological heterogeneity. The EASI-FISH pipeline democratizes mapping molecularly defined cell types, enabling discoveries about brain organization.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2021.11.024}, author = {Wang, Yuhan and Eddison, Mark and Fleishman, Greg and Weigert, Martin and Xu, Shengjin and Wang, Tim and Rokicki, Konrad and Goina, Cristian and Henry, Fredrick E and Lemire, Andrew L and Schmidt, Uwe and Yang, Hui and Svoboda, Karel and Myers, Eugene W and Saalfeld, Stephan and Korff, Wyatt and Sternson, Scott M and Tillberg, Paul W} } @article {65110, title = {Expansion microscopy: scalable and convenient super-resolution microscopy.}, journal = {Annual Review of Cell and Developmental Biology}, volume = {35}, year = {2019}, month = {2019 Oct 6}, pages = {683-701}, abstract = {

Expansion microscopy (ExM) is a physical form of magnification that increases the effective resolving power of any microscope. Here, we describe the fundamental principles of ExM, as well as how recently developed ExM variants build upon and apply those principles. We examine applications of ExM in cell and developmental biology for the study of nanoscale structures as well as ExM{\textquoteright}s potential for scalable mapping of nanoscale structures across large sample volumes. Finally, we explore how the unique anchoring and hydrogel embedding properties enable postexpansion molecular interrogation in a purified chemical environment. ExM promises to play an important role complementary to emerging live-cell imaging techniques, because of its relative ease of adoption and modification and its compatibility with tissue specimens up to at least 200 μm thick. Expected final online publication date for the , Volume 35 is October 7, 2019. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

}, issn = {1530-8995}, doi = {10.1146/annurev-cellbio-100818-125320}, author = {Tillberg, Paul W and Chen, Fei} } @article {49346, title = {Expansion microscopy: protocols for imaging proteins and RNA in cells and tissues.}, journal = {Current Protocols in Cell Biology}, volume = {80}, year = {2018}, month = {2018 Aug 02}, pages = {e56}, abstract = {

Expansion microscopy (ExM) is a recently developed technique that enables nanoscale-resolution imaging of preserved cells and tissues on conventional diffraction-limited microscopes via isotropic physical expansion of the specimens before imaging. In ExM, biomolecules and/or fluorescent labels in the specimen are linked to a dense, expandable polymer matrix synthesized evenly throughout the specimen, which undergoes 3-dimensional expansion by \~{}4.5 fold linearly when immersed in water. Since our first report, versions of ExM optimized for visualization of proteins, RNA, and other biomolecules have emerged. Here we describe best-practice, step-by-step ExM protocols for performing analysis of proteins (protein retention ExM, or proExM) as well as RNAs (expansion fluorescence in situ hybridization, or ExFISH), using chemicals and hardware found in a typical biology lab. Furthermore, a detailed protocol for handling and mounting expanded samples and for imaging them with confocal and light-sheet microscopes is provided. {\textcopyright} 2018 by John Wiley \& Sons, Inc.

}, issn = {1934-2616}, doi = {10.1002/cpcb.56}, author = {Asano, Shoh M and Gao, Ruixuan and Wassie, Asmamaw T and Tillberg, Paul W and Chen, Fei and Boyden, Edward S} }