@article {69846, title = {Far-red fluorescent genetically encoded calcium ion indicators.}, journal = {Nat Commun}, volume = {16}, year = {2025}, month = {2025 Apr 07}, pages = {3318}, abstract = {

Genetically encoded calcium ion (Ca) indicators (GECIs) are widely-used molecular tools for functional imaging of Ca dynamics and neuronal activities with single-cell resolution. Here we report the design and development of two far-red fluorescent GECIs, FR-GECO1a and FR-GECO1c, based on the monomeric far-red fluorescent proteins mKelly1 and mKelly2. FR-GECOs have excitation and emission maxima at ~596 nm and ~644 nm, respectively, display large responses to Ca in vitro (ΔF/F = 6 for FR-GECO1a, 18 for FR-GECO1c), are bright under both one-photon and two-photon illumination, and have high affinities (apparent K = 29 nM for FR-GECO1a, 83 nM for FR-GECO1c) for Ca. FR-GECOs offer sensitive and fast detection of single action potentials in neurons, and enable in vivo all-optical manipulation and measurement of cellular activities in combination with optogenetic actuators.

Preprint:\ https://doi.org/10.1101/2020.11.12.380089

}, keywords = {Action Potentials, Animals, Calcium, Fluorescent Dyes, HEK293 Cells, Humans, Luminescent Proteins, Mice, Neurons, Optogenetics, Red Fluorescent Protein}, issn = {2041-1723}, doi = {10.1038/s41467-025-58485-z}, url = {https://doi.org/10.1038/s41467-025-58485-z}, author = {Dalangin, Rochelin and Jia, Bill Z and Qi, Yitong and Aggarwal, Abhi and Sakoi, Kenryo and Drobizhev, Mikhail and Molina, Rosana S and Patel, Ronak and Abdelfattah, Ahmed S and Zheng, Jihong and Reep, Daniel and Hasseman, Jeremy P and Zhao, Yufeng and Wu, Jiahui and Podgorski, Kaspar and Tebo, Alison G and Schreiter, Eric R and Hughes, Thomas E and Terai, Takuya and Paquet, Marie-Eve and Megason, Sean G and Cohen, Adam E and Shen, Yi and Campbell, Robert E} } @article {69833, title = {Glutamate indicators with increased sensitivity and tailored deactivation rates}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 20}, abstract = {

Identifying the input-output operations of neurons requires measurements of synaptic transmission simultaneously at many of a neuron{\textquoteright}s thousands of inputs in the intact brain. To facilitate this goal, we engineered and screened 3365 variants of the fluorescent protein glutamate indicator iGluSnFR3 in neuron culture, and selected variants in the mouse visual cortex. Two variants have high sensitivity, fast activation (\< 2 ms) and deactivation times tailored for recording large populations of synapses (iGluSnFR4s, 153 ms) or rapid dynamics (iGluSnFR4f, 26 ms). By imaging action-potential evoked signals on axons and visually-evoked signals on dendritic spines, we show that iGluSnFR4s/4f primarily detect local synaptic glutamate with single-vesicle sensitivity. The indicators detect a wide range of naturalistic synaptic transmission, including in the vibrissal cortex layer 4 and in hippocampal CA1 dendrites. iGluSnFR4 increases the sensitivity and scale (4s) or speed (4f) of tracking information flow in neural networks in vivo.

}, doi = {10.1101/2025.03.20.643984}, url = {https://www.biorxiv.org/content/early/2025/03/24/2025.03.20.643984}, author = {Aggarwal, Abhi and Negrean, Adrian and Chen, Yang and Iyer, Rishyashring and Reep, Daniel and Liu, Anyi and Palutla, Anirudh and Xie, Michael E. and MacLennan, Bryan J. and Hagihara, Kenta M. and Kinsey, Lucas W. and Sun, Julianna L. and Yao, Pantong and Zheng, Jihong and Tsang, Arthur and Tsegaye, Getahun and Zhang, Yonghai and Patel, Ronak H. and Arthur, Benjamin J. and Hiblot, Julien and Leippe, Philipp and Tarnawski, Miroslaw and Marvin, Jonathan S. and Vevea, Jason D. and Turaga, Srinivas C. and Tebo, Alison G. and Carandini, Matteo and Rossi, L. F. and Kleinfeld, David and Konnerth, Arthur and Svoboda, Karel and Turner, Glenn C. and Hasseman, Jeremy and Podgorski, Kaspar} } @article {69856, title = {Glutamate indicators with increased sensitivity and tailored deactivation rates}, journal = {Research Square}, year = {2025}, month = {2025 Apr 8}, abstract = {

Identifying the input-output operations of neurons requires measurements of synaptic transmission simultaneously at many of a neuron{\textquoteright}s thousands of inputs in the intact brain. To facilitate this goal, we engineered and screened 3365 variants of the fluorescent protein glutamate indicator iGluSnFR3 in neuron culture, and selected variants in the mouse visual cortex. Two variants have high sensitivity, fast activation (\< 2 ms) and deactivation times tailored for recording large populations of synapses (iGluSnFR4s, 153 ms) or rapid dynamics (iGluSnFR4f, 26 ms). By imaging action-potential evoked signals on axons and visually-evoked signals on dendritic spines, we show that iGluSnFR4s/4f primarily detect local synaptic glutamate with single-vesicle sensitivity. The indicators detect a wide range of naturalistic synaptic transmission, including in the vibrissal cortex layer 4 and in hippocampal CA1 dendrites. iGluSnFR4 increases the sensitivity and scale (4s) or speed (4f) of tracking information flow in neural networks in vivo.

}, doi = {10.21203/rs.3.rs-6257403/v1}, url = {https://doi.org/10.21203/rs.3.rs-6257403/v1}, author = {Podgorski, Kaspar and Aggarwal, Abhi and Negrean, Adrian and Chen, Yang and Iyer, Rishyashring and Reep, Daniel and Liu, Anyi and Palutla, Anirudh and Xie, Michael and Maclennan, Bryan and Hagihara, Kenta and Kinsey, Lucas and Sun, Julianna and Yao, Pantong and Zheng, Jihong and Tsang, Arthur and Tsegaye, Getahun and Zhang, Yonghai and Patel, Ronak and Hasseman, Jeremy} } @article {70044, title = {A sensitive orange fluorescent calcium ion indicator for imaging neural activity}, journal = {bioRxiv}, year = {2025}, month = {2025 Jul 31}, abstract = {

Genetically encoded calcium indicators (GECIs) are vital tools for fluorescence-based visualization of neuronal activity with high spatial and temporal resolution. However, current highest-performance GECIs are predominantly green or red fluorescent, limiting multiplexing options and efficient excitation with fixed-wavelength femtosecond lasers operating at 1030 nm. Here, we introduce OCaMP (also known as O-GECO2), an orange fluorescent GECI engineered from O-GECO1 through targeted substitutions to improve calcium affinity while retaining the favorable photophysical properties of mOrange2. OCaMP exhibits improved two-photon cross-section, responsiveness, photostability, and calcium affinity relative to O-GECO1. In cultured neurons, zebrafish, and mouse cortex, OCaMP outperforms the red GECIs jRCaMP1a and jRGECO1a in sensitivity, kinetics, and signal-to-noise ratio. These properties establish OCaMP as a robust tool for high-fidelity neural imaging optimized for 1030 nm excitation and a compromise-free option within the spectral gap between existing green and red GECIs.

}, doi = {10.1101/2025.07.28.667269}, url = {https://www.biorxiv.org/content/early/2025/07/31/2025.07.28.667269}, author = {Aggarwal, Abhi and Baker, Heather A. and D{\"u}rst, C{\'e}line D. and Chen, I-Wen and de Chambrier, Pablo and Gonzales, Julia Marie and Marvin, Jonathan S. and Vandal, Mil{\`e}ne and Lundberg, Torgny and Sakoi, Kenryo and Patel, Ronak and Wang, Ching-Yao and Visser, Frank and Fouad, Yannick and Sunil, Smrithi and Wiens, Matthew and Terai, Takuya and Takahashi-Yamashiro, Kei and Thompson, Roger J. and Brown, Timothy A. and Nasu, Yusuke and Nguyen, Minh Dang and Gordon, Grant R. J. and McFarlane, Sarah and Podgorski, Kaspar and Holtmaat, Antonius and Campbell, Robert E. and Lohman, Alexander W.} } @article {69675, title = {A novel rhodopsin-based voltage indicator for simultaneous two-photon optical recording with GCaMP in vivo}, journal = {bioRxiv}, year = {2024}, month = {2024 Nov 15}, abstract = {

Genetically encoded voltage indicators (GEVIs) allow optical recording of membrane potential from targeted cells in vivo. However, red GEVIs that are compatible with two-photon microscopy and that can be multiplexed in vivo with green reporters like GCaMP, are currently lacking. To address this gap, we explored diverse rhodopsin proteins as GEVIs and engineered a novel GEVI, 2Photron, based on a rhodopsin from the green algae Klebsormidium nitens. 2Photron, combined with two photon ultrafast local volume excitation (ULoVE), enabled multiplexed readout of spiking and subthreshold voltage simultaneously with GCaMP calcium signals in visual cortical neurons of awake, behaving mice. These recordings revealed the cell-specific relationship of spiking and subthreshold voltage dynamics with GCaMP responses, highlighting the challenges of extracting underlying spike trains from calcium imaging.

}, doi = {10.1101/2024.11.15.623698}, url = {https://doi.org/10.1101/2024.11.15.623698}, author = {Villette, Vincent and Yang, Shang and Valenti, Rosario and Macklin, John J. and Bradley, Jonathan and Mathieu, Benjamin and Lombardini, Alberto and Podgorski, Kaspar and Dieudonn{\'e}, St{\'e}phane and Schreiter, Eric R. and Abdelfattah, Ahmed S.} } @inbook {69316, title = {Visualization of Glutamatergic Neurotransmission in Diverse Model Organisms with Genetically Encoded Indicators}, booktitle = {New Technologies for Glutamate Interaction: Neurons and Glia}, volume = {2780}, number = {Neuromethods}, year = {2024}, pages = {3{\textendash}34}, publisher = {Humana}, organization = {Humana}, address = {New York, NY}, abstract = {

Glutamate is the principal excitatory neurotransmitter, and occasionally subserves inhibitory roles, in the vertebrate nervous system. Glutamatergic synapses are dense in the vertebrate brain, at \textasciitilde1/μm3. Glutamate is released from and onto diverse components of the nervous system, including neurons, glia, and other cells. Methods for glutamate detection are critically important for understanding the function of synapses and neural circuits in normal physiology, development, and disease. Here we describe the development, optimization, and deployment of genetically encoded fluorescent glutamate indicators. We review the theoretical considerations governing glutamate sensor properties from first principles of synapse biology, microscopy, and protein structure-function relationships. We provide case studies of the state-of-the-art iGluSnFR glutamate sensor, encompassing design and optimization, mechanism of action, in vivo imaging, data analysis, and future directions. We include detailed protocols for iGluSnFR imaging in common preparations (bacteria, cell culture, and brain slices) and model organisms (worm, fly, fish, rodent).

}, isbn = {978-1-0716-3742-5}, doi = {10.1007/978-1-0716-3742-5_1}, url = {https://doi.org/10.1007/978-1-0716-3742-5_1}, author = {Aggarwal, Abhi and Chan, Joyce and Waring, Amelia K. and Negrean, Adrian and Marvin, Jonathan S. and Podgorski, Kaspar and Looger, Loren L.}, editor = {Kukley, Maria} } @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 {69053, title = {Lactate biosensors for spectrally and spatially multiplexed fluorescence imaging.}, journal = {Nature Communications}, volume = {14}, year = {2023}, month = {2023 Oct 27}, pages = {6598}, abstract = {

L-Lactate is increasingly appreciated as a key metabolite and signaling molecule in mammals. However, investigations of the inter- and intra-cellular dynamics of L-lactate are currently hampered by the limited selection and performance of L-lactate-specific genetically encoded biosensors. Here we now report a spectrally and functionally orthogonal pair of high-performance genetically encoded biosensors: a green fluorescent extracellular L-lactate biosensor, designated eLACCO2.1, and a red fluorescent intracellular L-lactate biosensor, designated R-iLACCO1. eLACCO2.1 exhibits excellent membrane localization and robust fluorescence response. To the best of our knowledge, R-iLACCO1 and its affinity variants exhibit larger fluorescence responses than any previously reported intracellular L-lactate biosensor. We demonstrate spectrally and spatially multiplexed imaging of L-lactate dynamics by coexpression of eLACCO2.1 and R-iLACCO1 in cultured cells, and in vivo imaging of extracellular and intracellular L-lactate dynamics in mice.

}, keywords = {Animals, Biosensing Techniques, Cells, Cultured, Fluorescence Resonance Energy Transfer, Lactic Acid, Mammals, Mice, Optical Imaging}, issn = {2041-1723}, doi = {10.1038/s41467-023-42230-5}, author = {Nasu, Yusuke and Aggarwal, Abhi and Le, Giang N T and Vo, Camilla Trang and Kambe, Yuki and Wang, Xinxing and Beinlich, Felix R M and Lee, Ashley Bomin and Ram, Tina R and Wang, Fangying and Gorzo, Kelsea A and Kamijo, Yuki and Boisvert, Marc and Nishinami, Suguru and Kawamura, Genki and Ozawa, Takeaki and Toda, Hirofumi and Gordon, Grant R and Ge, Shaoyu and Hirase, Hajime and Nedergaard, Maiken and Paquet, Marie-Eve and Drobizhev, Mikhail and Podgorski, Kaspar and Campbell, Robert E} } @article {68312, title = {A sensitive and specific genetically encoded potassium ion biosensor for in vivo applications across the tree of life.}, journal = {PLoS Biology}, volume = {20}, year = {2022}, month = {2022 Sep 06}, pages = {e3001772}, abstract = {

Potassium ion (K+) plays a critical role as an essential electrolyte in all biological systems. Genetically encoded fluorescent K+ biosensors are promising tools to further improve our understanding of K+-dependent processes under normal and pathological conditions. Here, we report the crystal structure of a previously reported genetically encoded fluorescent K+ biosensor, GINKO1, in the K+-bound state. Using structure-guided optimization and directed evolution, we have engineered an improved K+ biosensor, designated GINKO2, with higher sensitivity and specificity. We have demonstrated the utility of GINKO2 for in vivo detection and imaging of K+ dynamics in multiple model organisms, including bacteria, plants, and mice.

}, issn = {1545-7885}, doi = {10.1371/journal.pbio.3001772}, author = {Wu, Sheng-Yi and Wen, Yurong and Serre, Nelson B C and Laursen, Cathrine Charlotte Heiede and Dietz, Andrea Grost{\o}l and Taylor, Brian R and Drobizhev, Mikhail and Molina, Rosana S and Abhi Aggarwal and Rancic, Vladimir and Becker, Michael and Ballanyi, Klaus and Podgorski, Kaspar and Hirase, Hajime and Nedergaard, Maiken and Fendrych, Maty{\'a}{\v s} and Lemieux, M Joanne and Eberl, Daniel F and Kay, Alan R and Campbell, Robert E and Shen, Yi} } @article {67816, title = {A genetically encoded fluorescent biosensor for extracellular L-lactate.}, journal = {Nature Communications}, volume = {12}, year = {2021}, month = {2021 Dec 06}, pages = {7058}, abstract = {

L-Lactate, traditionally considered a metabolic waste product, is increasingly recognized as an important intercellular energy currency in mammals. To enable investigations of the emerging roles of intercellular shuttling of L-lactate, we now report an intensiometric green fluorescent genetically encoded biosensor for extracellular L-lactate. This biosensor, designated eLACCO1.1, enables cellular resolution imaging of extracellular L-lactate in cultured mammalian cells and brain tissue.

}, issn = {2041-1723}, doi = {10.1038/s41467-021-27332-2}, author = {Nasu, Yusuke and Murphy-Royal, Ciaran and Wen, Yurong and Haidey, Jordan N and Molina, Rosana S and Abhi Aggarwal and Zhang, Shuce and Kamijo, Yuki and Paquet, Marie-Eve and Podgorski, Kaspar and Drobizhev, Mikhail and Bains, Jaideep S and Lemieux, M Joanne and Gordon, Grant R and Campbell, Robert E} } @booklet {67972, title = {Programmable 3D snapshot microscopy with Fourier convolutional networks}, year = {2021}, abstract = {

3D snapshot microscopy enables fast volumetric imaging by capturing a 3D volume in a single 2D camera image and performing computational reconstruction. Fast volumetric imaging has a variety of biological applications such as whole brain imaging of rapid neural activity in larval zebrafish. The optimal microscope design for this optical 3D-to-2D encoding is both sample- and task-dependent, with no general solution known. Deep learning based decoders can be combined with a differentiable simulation of an optical encoder for end-to-end optimization of both the deep learning decoder and optical encoder. This technique has been used to engineer local optical encoders for other problems such as depth estimation, 3D particle localization, and lensless photography. However, 3D snapshot microscopy is known to require a highly non-local optical encoder which existing UNet-based decoders are not able to engineer. We show that a neural network architecture based on global kernel Fourier convolutional neural networks can efficiently decode information from multiple depths in a volume, globally encoded across a 3D snapshot image. We show in simulation that our proposed networks succeed in engineering and reconstructing optical encoders for 3D snapshot microscopy where the existing state-of-the-art UNet architecture fails. We also show that our networks outperform the state-of-the-art learned reconstruction algorithms for a computational photography dataset collected on a prototype lensless camera which also uses a highly non-local optical encoding.

}, keywords = {Computer Vision and Pattern Recognition (cs.CV), electronic engineering, FOS: Computer and information sciences, FOS: Electrical engineering, Image and Video Processing (eess.IV), information engineering, Machine Learning (cs.LG)}, doi = {10.48550/ARXIV.2104.10611}, url = {https://arxiv.org/abs/2104.10611}, author = {Deb, Diptodip and Jiao, Zhenfei and Chen, Alex B. and Broxton, Michael and Ahrens, Misha B. and Podgorski, Kaspar and Turaga, Srinivas C.} } @article {67230, title = {VolPy: Automated and scalable analysis pipelines for voltage imaging datasets.}, journal = {PLoS Computational Biology}, volume = {17}, year = {2021}, month = {2021 Apr 14}, pages = {e1008806}, abstract = {

Voltage imaging enables monitoring neural activity at sub-millisecond and sub-cellular scale, unlocking the study of subthreshold activity, synchrony, and network dynamics with unprecedented spatio-temporal resolution. However, high data rates (\>800MB/s) and low signal-to-noise ratios create bottlenecks for analyzing such datasets. Here we present VolPy, an automated and scalable pipeline to pre-process voltage imaging datasets. VolPy features motion correction, memory mapping, automated segmentation, denoising and spike extraction, all built on a highly parallelizable, modular, and extensible framework optimized for memory and speed. To aid automated segmentation, we introduce a corpus of 24 manually annotated datasets from different preparations, brain areas and voltage indicators. We benchmark VolPy against ground truth segmentation, simulations and electrophysiology recordings, and we compare its performance with existing algorithms in detecting spikes. Our results indicate that VolPy{\textquoteright}s performance in spike extraction and scalability are state-of-the-art.

}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1008806}, author = {Cai, Changjia and Friedrich, Johannes and Singh, Amrita and Eybposh, M Hossein and Pnevmatikakis, Eftychios A and Podgorski, Kaspar and Giovannucci, Andrea} } @article {65650, title = {Bright and high-performance genetically encoded Ca indicator based on mNeonGreen fluorescent protein.}, journal = {ACS Sensors}, year = {2020}, month = {2020 Jul 08}, abstract = {

Genetically encodable calcium ion (Ca) indicators (GECIs) based on green fluorescent proteins (GFP) are powerful tools for imaging of cell signaling and neural activity in model organisms. Following almost 2 decades of steady improvements in the GFP-based GCaMP series of GECIs, the performance of the most recent generation (i.e., jGCaMP7) may have reached its practical limit due to the inherent properties of GFP. In an effort to sustain the steady progression toward ever-improved GECIs, we undertook the development of a new GECI based on the bright monomeric GFP, mNeonGreen (mNG). The resulting indicator, mNG-GECO1, is 60\% brighter than GCaMP6s in vitro and provides comparable performance as demonstrated by imaging Ca dynamics in cultured cells, primary neurons, and in vivo in larval zebrafish. These results suggest that mNG-GECO1 is a promising next-generation GECI that could inherit the mantle of GCaMP and allow the steady improvement of GECIs to continue for generations to come.

}, issn = {2379-3694}, doi = {10.1021/acssensors.0c00279}, author = {Zarowny, Landon and Abhi Aggarwal and Rutten, Virginia M S and Kolb, Ilya and Patel, Ronak and Huang, Hsin-Yi and Chang, Yu-Fen and Phan, Tiffany and Kanyo, Richard and Ahrens, Misha B and Allison, W Ted and Podgorski, Kaspar and Campbell, Robert E} } @article {65646, title = {Comprehensive imaging of sensory-evoked activity of entire neurons within the awake developing brain using ultrafast AOD-based random-access two-photon microscopy.}, journal = {Frontiers in Neural Circuits}, volume = {14}, year = {2020}, month = {2020 Jun 16}, pages = {33}, abstract = {

Determining how neurons transform synaptic input and encode information in action potential (AP) firing output is required for understanding dendritic integration, neural transforms and encoding. Limitations in the speed of imaging 3D volumes of brain encompassing complex dendritic arbors using conventional galvanometer mirror-based laser-scanning microscopy has hampered fully capturing fluorescent sensors of activity throughout an individual neuron{\textquoteright}s entire complement of synaptic inputs and somatic APs. To address this problem, we have developed a two-photon microscope that achieves high-speed scanning by employing inertia-free acousto-optic deflectors (AODs) for laser beam positioning, enabling random-access sampling of hundreds to thousands of points-of-interest restricted to a predetermined neuronal structure, avoiding wasted scanning of surrounding extracellular tissue. This system is capable of comprehensive imaging of the activity of single neurons within the intact and awake vertebrate brain. Here, we demonstrate imaging of tectal neurons within the brains of albino tadpoles labeled using single-cell electroporation for expression of a red space-filling fluorophore to determine dendritic arbor morphology, and either the calcium sensor jGCaMP7s or the glutamate sensor iGluSnFR as indicators of neural activity. Using discrete, point-of-interest scanning we achieve sampling rates of 3 Hz for saturation sampling of entire arbors at 2 μm resolution, 6 Hz for sequentially sampling 3 volumes encompassing the dendritic arbor and soma, and 200-250 Hz for scanning individual planes through the dendritic arbor. This system allows investigations of sensory-evoked information input-output relationships of neurons within the intact and awake brain.

}, issn = {1662-5110}, doi = {10.3389/fncir.2020.00033}, author = {Sakaki, Kelly D R and Podgorski, Kaspar and Dellazizzo Toth, Tristan A and Coleman, Patrick and Haas, Kurt} } @article {65300, title = {A fast genetically encoded fluorescent sensor for faithful in vivo acetylcholine detection in mice, fish, worms and flies.}, journal = {bioRxiv}, year = {2020}, month = {2020 Feb 8}, abstract = {

Here we design and optimize a genetically encoded fluorescent indicator, iAChSnFR, for the ubiquitous neurotransmitter acetylcholine, based on a bacterial periplasmic binding protein. iAChSnFR shows large fluorescence changes, rapid rise and decay kinetics, and insensitivity to most cholinergic drugs. iAChSnFR revealed large transients in a variety of slice and\ in vivo\ preparations in mouse, fish, fly and worm. iAChSnFR will be useful for the study of acetylcholine in all animals.

}, doi = {https://doi.org/10.1101/2020.02.07.939504}, author = {Borden, Philip and Zhang, Peng and Shivange, Amol V and Marvin, Jonathan S and Cichon, Joseph and Dan, Chuntao and Podgorski, Kaspar and Figueiredo, Antonio and Novak, Ondrej and Tanimoto, Masashi and Shigetomi, Eiji and Lobas, Mark A and Kim, Hyuntae and Zhu, Paula and Zhang, Yajun and Zheng, W. Sharon and Fan, ChengCheng and Wang, Guangfu and Xiang, Bowen and Gan, Li and Zhang, Guang-Xian and Guo, Kaiming and Lin, Li and Cai, Yuan and Yee, Andrew G. and Aggarwal, Aman and Ford, Christopher P. and Rees, Douglas C. and Dietrich, Dirk and Khakh, Baljit S. and Dittman, Jeremy S. and Gan, Wen-Biao and Koyama, Minoru and Jayaraman, Vivek and Cheer, Joseph F. and Lester, Henry A. and Zhu, J. Julius and Looger, Loren L.} } @article {65378, title = {A general approach to engineer positive-going eFRET voltage indicators}, journal = {Nature Communications}, volume = {11}, year = {2020}, month = {2020 Jul 10}, abstract = {

We engineered electrochromic fluorescence resonance energy transfer (eFRET) genetically encoded voltage indicators (GEVIs) with {\textquotedblleft}positive-going{\textquotedblright} fluorescence response to membrane depolarization through rational manipulation of the native proton transport pathway in microbial rhodopsins. We transformed the state-of-the-art eFRET GEVI Voltron into Positron, with kinetics and sensitivity equivalent to Voltron but flipped fluorescence signal polarity. We further applied this general approach to GEVIs containing different voltage sensitive rhodopsin domains and various fluorescent dye and fluorescent protein reporters.

}, author = {Abdelfattah, Ahmed S and Valenti, Rosario and Zheng, Jihong and Wong, Allan and Podgorski, Kaspar and Koyama, Minoru and Kim, Douglas S. and Schreiter, Eric R and Project Team GENIE} } @article {65618, title = {jYCaMP: an optimized calcium indicator for two-photon imaging at fiber laser wavelengths.}, journal = {Nature Methods}, volume = {17}, year = {2020}, month = {2020 May 25}, pages = {694-97}, abstract = {

Femtosecond lasers at fixed wavelengths above 1,000 nm are powerful, stable and inexpensive, making them promising sources for two-photon microscopy. Biosensors optimized for these wavelengths are needed for both next-generation microscopes and affordable turn-key systems. Here we report jYCaMP1, a yellow variant of the calcium indicator jGCaMP7 that outperforms its parent in mice and flies at excitation wavelengths above 1,000 nm and enables improved two-color calcium imaging with red fluorescent protein-based indicators.

}, issn = {1548-7105}, doi = {10.1038/s41592-020-0835-7}, author = {Mohr, Manuel Alexander and Bushey, Daniel and Abhi Aggarwal and Marvin, Jonathan S and Kim, Jeong Jun and Marquez, Emiliano Jimenez and Liang, Yajie and Patel, Ronak and Macklin, John J and Lee, Chi-Yu and Tsang, Arthur and Tsegaye, Getahun and Ahrens, Allison M and Chen, Jerry L and Kim, Douglas S and Wong, Allan M and Looger, Loren L and Schreiter, Eric R and Podgorski, Kaspar} } @article {65081, title = {Bright and photostable chemigenetic indicators for extended in vivo voltage imaging.}, journal = {Science}, volume = {365}, year = {2019}, month = {2019 Aug 13}, pages = {699-704}, abstract = {

Imaging changes in membrane potential using genetically encoded fluorescent voltage indicators (GEVIs) has great potential for monitoring neuronal activity with high spatial and temporal resolution. Brightness and photostability of fluorescent proteins and rhodopsins have limited the utility of existing GEVIs. We engineered a novel GEVI, "Voltron", that utilizes bright and photostable synthetic dyes instead of protein-based fluorophores, extending the combined duration of imaging and number of neurons imaged simultaneously by more than tenfold relative to existing GEVIs. We used Voltron for in vivo voltage imaging in mice, zebrafish, and fruit flies. In mouse cortex, Voltron allowed single-trial recording of spikes and subthreshold voltage signals from dozens of neurons simultaneously, over 15 min of continuous imaging. In larval zebrafish, Voltron enabled the precise correlation of spike timing with behavior.

}, issn = {1095-9203}, doi = {10.1126/science.aav6416}, author = {Abdelfattah, Ahmed S and Kawashima, Takashi and Singh, Amrita and Novak, Ondrej and Liu, Hui and Shuai, Yichun and Huang, Yi-Chieh and Campagnola, Luke and Seeman, Stephanie C and Yu, Jianing and Zheng, Jihong and Grimm, Jonathan B and Patel, Ronak and Friedrich, Johannes and Mensh, Brett D and Paninski, Liam and Macklin, John J and Murphy, Gabe J and Podgorski, Kaspar and Lin, Bei-Jung and Chen, Tsai-Wen and Turner, Glenn C and Liu, Zhe and Koyama, Minoru and Svoboda, Karel and Ahrens, Misha B and Lavis, Luke D and Schreiter, Eric R} } @article {65056, title = {A genetically encoded fluorescent sensor for in vivo imaging of GABA.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Jul 15}, pages = {763-770}, abstract = {

Current techniques for monitoring GABA (γ-aminobutyric acid), the primary inhibitory neurotransmitter in vertebrates, cannot follow transients in intact neural circuits. To develop a GABA sensor, we applied the design principles used to create the fluorescent glutamate receptor iGluSnFR. We used a protein derived from a previously unsequenced Pseudomonas fluorescens strain and performed structure-guided mutagenesis and library screening to obtain intensity-based GABA sensing fluorescence reporter (iGABASnFR) variants. iGABASnFR is genetically encoded, detects GABA release evoked by electric stimulation of afferent fibers in acute brain slices and produces readily detectable fluorescence increases in vivo in mice and zebrafish. We applied iGABASnFR to track mitochondrial GABA content and its modulation by an anticonvulsant, swimming-evoked, GABA-mediated transmission in zebrafish cerebellum, GABA release events during interictal spikes and seizures in awake mice, and found that GABA-mediated tone decreases during isoflurane anesthesia.

}, issn = {1548-7105}, doi = {10.1038/s41592-019-0471-2}, author = {Marvin, Jonathan S and Shimoda, Yoshiteru and Magloire, Vincent and Leite, Marco and Kawashima, Takashi and Jensen, Thomas P and Kolb, Ilya and Knott, Erika L and Novak, Ondrej and Podgorski, Kaspar and Leidenheimer, Nancy J and Rusakov, Dmitri A and Ahrens, Misha B and Kullmann, Dimitri M and Looger, Loren L} } @article {65254, title = {Two-photon imaging with silicon photomultipliers.}, journal = {Optics Express}, volume = {27}, year = {2019}, month = {2019 Nov 25}, pages = {35830-35841}, abstract = {

We compared performance of recently developed silicon photomultipliers (SiPMs) to GaAsP photomultiplier tubes (PMTs) for two-photon imaging of neural activity. Despite higher dark counts, SiPMs match or exceed the signal-to-noise ratio of PMTs at photon rates encountered in typical calcium imaging experiments due to their low pulse height variability. At higher photon rates encountered during high-speed voltage imaging, SiPMs substantially outperform PMTs.

}, issn = {1094-4087}, doi = {10.1364/OE.27.035830}, author = {Modi, Mehrab N and Daie, Kayvon and Turner, Glenn C and Podgorski, Kaspar} } @article {65047, title = {Multiplicative updates for optimization problems with dynamics.}, journal = {IEEE Xplore}, year = {2018}, month = {2018 Apr 16}, abstract = {

We consider the problem of optimizing general convex objective functions with nonnegativity constraints. Using the Karush-Kuhn-Tucker (KKT) conditions for the nonnegativity constraints we will derive fast multiplicative update rules for several problems of interest in signal processing, including non-negative deconvolution, point-process smoothing, ML estimation for Poisson Observations, nonnegative least squares and nonnegative matrix factorization (NMF). Our algorithm can also account for temporal and spatial structure and regularization. We will analyze the performance of our algorithm on simultaneously recorded neuronal calcium imaging and electrophysiology data.

}, doi = {10.1109/ACSSC.2017.8335723}, author = {Abbas Kazemipour and Behtash Babadi and wu, min and Podgorski, Kaspar and Shaul Druckmann} } @article {48984, title = {Stability, affinity and chromatic variants of the glutamate sensor iGluSnFR.}, journal = {Nature Methods}, volume = {15}, year = {2018}, month = {2018 Nov}, pages = {9386-9}, abstract = {

Single-wavelength fluorescent reporters allow visualization of specific neurotransmitters with high spatial and temporal resolution. We report variants of intensity-based glutamate-sensing fluorescent reporter (iGluSnFR) that are functionally brighter; detect submicromolar to millimolar amounts of glutamate; and have blue, cyan, green, or yellow emission profiles. These variants could be imaged in vivo in cases where original iGluSnFR was too dim, resolved glutamate transients in dendritic spines and axonal boutons, and allowed imaging at kilohertz rates.

}, doi = {10.1038/s41592-018-0171-3}, author = {Marvin, Jonathan S and Scholl, Benjamin and Wilson, Daniel E and Podgorski, Kaspar and Kazemipour, Abbas and Mueller, Johannes Alexander and Schoch-McGovern, Susanne and Wang, Samuel S-H and Quiroz, Francisco Jose Urra and Rebola, Nelson and Bao, Huan and Little, Justin P and Tkachuk, Ariana N and Hantman, Adam W and Chapman, Edwin R and Dietrich, Dirk and DiGregorio, David A and Fitzpatrick, David and Looger, Loren L} } @article {47550, title = {Brain heating induced by near infrared lasers during multi-photon microscopy.}, journal = {Journal of Neurophysiology}, volume = {116}, year = {2016}, month = {2016 Jun 8}, pages = {1012-23}, abstract = {

Two-photon imaging and optogenetic stimulation rely on high illumination powers, particularly for state-of-the-art applications that target deeper structures, achieve faster measurements, or probe larger brain areas. However, little information is available on heating and resulting damage induced by high-power illumination in the brain. Here we used thermocouple probes and quantum dot nanothermometers to measure temperature changes induced by two-photon microscopy in the neocortex of awake and anaesthetized mice. We characterized heating as a function of wavelength, exposure time, and distance from the center of illumination. Although total power is highest near the surface of the brain, heating was most severe hundreds of microns below the focal plane, due to heat dissipation through the cranial window. Continuous illumination of a 1mm2 area produced a peak temperature increase of approximately 1.8{\textdegree}C/100mW. Continuous illumination with powers above 250 mW induced lasting damage, detected with immunohistochemistry against Iba1, GFAP, heat shock proteins, and activated Caspase-3. Higher powers were usable in experiments with limited duty ratios, suggesting an approach to mitigate damage in high-power microscopy experiments.

}, issn = {1522-1598}, doi = {10.1152/jn.00275.2016}, author = {Podgorski, Kaspar and Ranganathan, Gayathri Nattar} }