@article {69948, title = {Accelerating Neuron Reconstruction with PATHFINDER}, journal = {bioRxiv}, year = {2025}, month = {2025 May 21}, abstract = {

Comprehensive mapping of neural connections is essential for understanding brain function. Existing automated methods for connectome reconstruction from high-resolution images of brain tissue introduce errors that require extensive and time-consuming manual correction, a critical bottleneck in the field. To address this, we developed PATHFINDER, an AI system that segments volumetric image data, identifies potential ways to assemble neuron fragments, and evaluates the plausibility of resulting shapes to reconstruct complete neurons. Using a dataset of all axons in an IBEAM-mSEM volume of mouse cortex, we show that PATHFINDER reduces the error rate in axon reconstruction by an order of magnitude over previous state of the art, leading to an improvement in proofreading throughput of up to 84{\texttimes} relative to prior estimates in the context of a whole mouse brain. By drastically reducing the manual effort required for analysis, this advance unlocks the potential for both large-scale connectome mapping and routine investigation of smaller volumes.

}, doi = {10.1101/2025.05.16.654254}, url = {https://www.biorxiv.org/content/early/2025/05/21/2025.05.16.654254}, author = {Januszewski, Micha{\l} and Templier, Thomas and Hayworth, Kenneth Jeffrey and Peale, David and Hess, Harald} } @article {69985, title = {Cross-species comparative connectomics reveals the evolution of an olfactory circuit}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 11}, abstract = {

Animal behavioural diversity ultimately stems from variation in neural circuitry, yet how central neural circuits evolve remains poorly understood. Studies of neural circuit evolution often focus on a few elements within a network. However, addressing fundamental questions in evolutionary neuroscience, such as whether some elements are more evolvable than others, requires a more global and unbiased approach. Here, we used synapse-level comparative connectomics to examine how an entire olfactory circuit evolves. We compared the full antennal lobe connectome of the larvae of two closely related Drosophila species, D. melanogaster and D. erecta, which differ in their ecological niches and odour-driven behaviours. We found that evolutionary change is unevenly distributed across the network. Some features, including neuron types, neuron numbers and interneuron-to-interneuron connectivity, are highly conserved. These conserved elements delineate a core circuit blueprint presumably required for fundamental olfactory processing. Superimposed on this scaffold, we find rewiring changes that mirror each species ecologies, including a systematic shift in the excitation-to-inhibition balance in the feedforward pathways. We further show that some neurons have changed more than others, and that even within individual neurons some synaptic elements remain conserved while others display major species-specific changes, suggesting evolutionary hot-spots within the circuit. Our findings reveal constrained and adaptable elements within olfactory networks, and establish a framework for identifying general principles in the evolution of neural circuits underlying behaviour.

}, doi = {10.1101/2025.06.11.659158}, url = {https://www.biorxiv.org/content/early/2025/06/11/2025.06.11.659158}, author = {Roberts, Ruairi and Giez, Christoph and Dhawan, Serene and Pang, Song and Randel, Nadine and Zhiyuan, Lu and Gong, Hui and Dekens, Leonard and DiFrisco, James and Xu, C Shan and Hess, Harald and Zlatic, Marta and Cardona, Albert and Prieto-Godino, Lucia L.} } @article {69723, title = {The first complete 3D reconstruction and morphofunctional mapping of an insect eye}, year = {2025}, month = {01/2025}, doi = {10.7554/elife.103247.1}, url = {http://dx.doi.org/10.7554/eLife.103247.1}, author = {Makarova, Anastasia A and Chua, Nicholas J and Diakova, Anna V and Desyatirkina, Inna A and Gunn, Pat and Pang, Song and Xu, C Shan and Hess, Harald and Chklovskii, Dmitri B and Polilov, Alexey A} } @article {69525, title = {iTome Volumetric Serial Sectioning Apparatus for TEM}, journal = {bioRxiv}, year = {2024}, month = {2024 Jul 07}, abstract = {

An automated ultra-microtome capable of sectioning thousands of ultrathin sections onto standard TEM slot grids was developed and used to section: a complete Drosophila melanogaster first-instar larva, three sections per grid, into 4,866 34-nm-thick sections with a cutting and pickup success rate of 99.74\%; 30 microns of mouse cortex measuring roughly 400 um x 2000 um at 40 nm per slice; and a full adult Drosophila brain and ventral nerve column into 9,300 sections with a pickup success rate of 99.95\%. The apparatus uses optical interferometers to monitor a reference distance between the cutting knife and multiple sample blocks. Cut sections are picked up from the knife-boat water surface while they are still anchored to the cutting knife. Blocks without embedded tissue are used to displace tissue-containing sections away from the knife edge so that the tissue regions end up in the grid slot instead of on the grid rim.

}, doi = {10.1101/2024.07.02.601671}, url = {https://doi.org/10.1101/2024.07.02.601671 }, author = {Peale, David R. and Hess, Harald and Lee, P. R. and Cardona, Albert and Bock, Davi D. and Schneider-Mizell, Casey and Fetter, Richard D. and Lee, Wei-Ping and Robinson, Camenzind G. and Iyer, Nirmala and Managan, Claire} } @article {68965, title = {Multiscale head anatomy of Megaphragma (Hymenoptera: Trichogrammatidae).}, journal = {Arthropod Structure and Development}, volume = {76}, year = {2023}, month = {2023 Sep 01}, pages = {101299}, abstract = {

Methods of three-dimensional electron microscopy have been actively developed recently and open up great opportunities for morphological work. This approach is especially useful for studying microinsects, since it is possible to obtain complete series of high-resolution sections of a whole insect. Studies on the genus Megaphragma are especially important, since the unique phenomenon of lysis of most of the neuron nuclei was discovered in species of this genus. In this study we reveal the anatomical structure of the head of Megaphragma viggianii at all levels from organs to subcellular structures. Despite the miniature size of the body, most of the organ systems of M.\ viggianii retain the structural plan and complexity of organization at all levels. The set of muscles and the well-developed stomatogastric nervous system of this species correspond to those of larger insects, and there is also a well-developed tracheal system in the head of this species. Reconstructions of the head of M.\ viggianii at the cellular and subcellular levels were obtained, and of volumetric data were analyzed. A total of 689 nucleated cells of the head were reconstructed. The ultrastructure of M.\ viggianii is surprisingly complex, and the evolutionary benefits of such complexity are probably among the factors limiting the further miniaturization of parasitoid wasps.

}, issn = {1873-5495}, doi = {10.1016/j.asd.2023.101299}, author = {Desyatirkina, Inna A and Makarova, Anastasia A and Pang, Song and Xu, C Shan and Hess, Harald and Polilov, Alexey A} } @article {68958, title = {Towards Generalizable Organelle Segmentation in Volume Electron Microscopy.}, journal = {Microscopy and Microanalysis}, volume = {29}, year = {2023}, month = {2023 Jul 22}, pages = {975}, keywords = {Organelles, Volume Electron Microscopy}, issn = {1435-8115}, doi = {10.1093/micmic/ozad067.487}, author = {Heinrich, Larissa and Patton, Will and Bennett, Davis and Ackerman, David and Park, Grace and Bogovic, John A and Eckstein, Nils and Petruncio, Alyson and Clements, Jody and Pang, Song and Shan Xu, C and Funke, Jan and Korff, Wyatt and Hess, Harald and Lippincott-Schwartz, Jennifer and Saalfeld, Stephan and Weigel, Aubrey} } @article {68513, title = {The 3D ultrastructure of the chordotonal organs in the antenna of a microwasp remains complex although simplified.}, journal = {Scientific Reports}, volume = {12}, year = {2022}, month = {2022 Nov 23}, pages = {20172}, abstract = {

Insect antennae are astonishingly versatile and have multiple sensory modalities. Audition, detection of airflow, and graviception are combined in the antennal chordotonal organs. The miniaturization of these complex multisensory organs has never been investigated. Here we present a comprehensive study of the structure and scaling of the antennal chordotonal organs of the extremely miniaturized parasitoid wasp Megaphragma viggianii based on 3D electron microscopy. Johnston{\textquoteright}s organ of M. viggianii consists of 19 amphinematic scolopidia (95 cells); the central organ consists of five scolopidia (20 cells). Plesiomorphic composition includes one accessory cell per scolopidium, but in M. viggianii this ratio is only 0.3. Scolopale rods in Johnston{\textquoteright}s organ have a unique structure. Allometric analyses demonstrate the effects of scaling on the antennal chordotonal organs in insects. Our results not only shed light on the universal principles of miniaturization of sense organs, but also provide context for future interpretation of the M. viggianii connectome.

}, keywords = {Animals, Arthropod Antennae, Insecta, Mechanoreceptors, Microscopy, Electron, Sense Organs}, issn = {2045-2322}, doi = {10.1038/s41598-022-24390-4}, author = {Diakova, Anna V and Makarova, Anastasia A and Pang, Song and Xu, C Shan and Hess, Harald and Polilov, Alexey A} } @article {66901, title = {Protocol for preparation of heterogeneous biological samples for 3D electron microscopy: a case study for insects.}, journal = {Scientific Reports}, volume = {11}, year = {2021}, month = {2021 Feb 25}, pages = {4717}, abstract = {

Modern morphological and structural studies are coming to a new level by incorporating the latest methods of three-dimensional electron microscopy (3D-EM). One of the key problems for the wide usage of these methods is posed by difficulties with sample preparation, since the methods work poorly with heterogeneous (consisting of tissues different in structure and in chemical composition) samples and require expensive equipment and usually much time. We have developed a simple protocol allows preparing heterogeneous biological samples suitable for 3D-EM in a laboratory that has a standard supply of equipment and reagents for electron microscopy. This protocol, combined with focused ion-beam scanning electron microscopy, makes it possible to study 3D ultrastructure of complex biological samples, e.g., whole insect heads, over their entire volume at the cellular and subcellular levels. The protocol provides new opportunities for many areas of study, including connectomics.

}, issn = {2045-2322}, doi = {10.1038/s41598-021-83936-0}, author = {Polilov, Alexey A and Makarova, Anastasia A and Pang, Song and Shan Xu, C and Hess, Harald} } @article {49342, title = {The ESCRT-III protein CHMP1A mediates secretion of sonic hedgehog on a distinctive subtype of extracellular vesicles.}, journal = {Cell Reports}, volume = {24}, year = {2018}, month = {2018 Jul 24}, pages = {973-986.e8}, abstract = {

Endosomal sorting complex required for transport (ESCRT) complex proteins regulate biogenesis and release of extracellular vesicles (EVs), which enable cell-to-cell communication in the nervous system essential for development and adult function. We recently showed human loss-of-function (LOF) mutations in ESCRT-III member CHMP1A cause autosomal recessive microcephaly with pontocerebellar hypoplasia, but its mechanism was unclear. Here, we show Chmp1a is required for progenitor proliferation in mouse cortex and cerebellum and progenitor maintenance in human cerebral organoids. In Chmp1a null mice, this defect is associated with impaired sonic hedgehog (Shh) secretion and intraluminal vesicle (ILV) formation in multivesicular bodies (MVBs). Furthermore, we show CHMP1A is important for release of an EV subtype that contains AXL, RAB18, and TMED10 (ART) and SHH. Our findings show CHMP1A loss impairs secretion of SHH on ART-EVs, providing molecular mechanistic insights into the role of ESCRT proteins and EVs in the brain.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2018.06.100}, author = {Coulter, Michael E and Dorobantu, Cristina M and Lodewijk, Gerrald A and Delalande, Fran{\c c}ois and Cianferani, Sarah and Ganesh, Vijay S and Smith, Richard S and Lim, Elaine T and Xu, C Shan and Pang, Song and Wong, Eric T and Lidov, Hart G W and Calicchio, Monica L and Yang, Edward and Gonzalez, Dilenny M and Schlaeger, Thorsten M and Mochida, Ganeshwaran H and Hess, Harald and Lee, Wei-Chung Allen and Lehtinen, Maria K and Kirchhausen, Tomas and Haussler, David and Jacobs, Frank M J and Gaudin, Rapha{\"e}l and Walsh, Christopher A} } @article {46531, title = {A multi-layered protein network stabilizes the Escherichia coli FtsZ-ring and modulates constriction dynamics.}, journal = {PLoS Genetics}, volume = {11}, year = {2015}, month = {2015 Apr 07}, pages = {e1005128}, abstract = {

The prokaryotic tubulin homolog, FtsZ, forms a ring-like structure (FtsZ-ring) at midcell. The FtsZ-ring establishes the division plane and enables the assembly of the macromolecular division machinery (divisome). Although many molecular components of the divisome have been identified and their interactions extensively characterized, the spatial organization of these proteins within the divisome is unclear. Consequently, the physical mechanisms that drive divisome assembly, maintenance, and constriction remain elusive. Here we applied single-molecule based superresolution imaging, combined with genetic and biophysical investigations, to reveal the spatial organization of cellular structures formed by four important divisome proteins in E. coli: FtsZ, ZapA, ZapB and MatP. We show that these interacting proteins are arranged into a multi-layered protein network extending from the cell membrane to the chromosome, each with unique structural and dynamic properties. Further, we find that this protein network stabilizes the FtsZ-ring, and unexpectedly, slows down cell constriction, suggesting a new, unrecognized role for this network in bacterial cell division. Our results provide new insight into the structure and function of the divisome, and highlight the importance of coordinated cell constriction and chromosome segregation.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1005128}, author = {Buss, Jackson and Coltharp, Carla and Shtengel, Gleb and Yang, Xinxing and Hess, Harald and Xiao, Jie} } @article {6676, title = {Electron microscopy reconstruction of brain structure using sparse representations over learned dictionaries.}, journal = {IEEE Transactions on Medical Imaging}, volume = {32}, year = {2013}, month = {2013 Aug 2}, pages = {2179-88}, abstract = {

A central problem in neuroscience is reconstructing neuronal circuits on the synapse level. Due to a wide range of scales in brain architecture such reconstruction requires imaging that is both high-resolution and high-throughput. Existing electron microscopy (EM) techniques possess required resolution in the lateral plane and either high-throughput or high depth resolution but not both. Here, we exploit recent advances in unsupervised learning and signal processing to obtain high depth-resolution EM images computationally without sacrificing throughput. First, we show that the brain tissue can be represented as a sparse linear combination of localized basis functions that are learned using high-resolution datasets. We then develop compressive sensing-inspired techniques that can reconstruct the brain tissue from very few (typically 5) tomographic views of each section. This enables tracing of neuronal processes and, hence, high throughput reconstruction of neural circuits on the level of individual synapses.

}, issn = {1558-254X}, doi = {10.1109/TMI.2013.2276018}, author = {Hu, Tao and Nunez-Iglesias, Juan and Vitaladevuni, Shiv and Scheffer, Lou and Xu, Shan and Bolorizadeh, Mehdi and Hess, Harald and Fetter, Richard and Chklovskii, Dmitri} } @article {4325, title = {High resolution segmentation of neuronal tissues from low depth-resolution EM imagery.}, journal = {8th International Conference of Energy Minimization Methods in Computer Vision and Pattern Recognition Energy Minimization Methods in Computer Vision and Pattern Recognition}, volume = {6819}, year = {2011}, month = {2011}, pages = {261-72}, abstract = {

The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack of EM images into the individual neurons is difficult, due to the low depth-resolution in existing high-throughput EM technology, such as serial section Transmission EM (ssTEM). In this paper we propose methods for detecting the high resolution locations of membranes from low depth-resolution images. We approach this problem using both a method that learns a discriminative, over-complete dictionary and a kernel SVM. We test this approach on tomographic sections produced in simulations from high resolution Focused Ion Beam (FIB) images and on low depth-resolution images acquired with ssTEM and evaluate our results by comparing it to manual labeling of this data.

}, issn = {978-3-642-23093-6}, author = {Glasner, Daniel and Hu, Tao and Nunez-Iglesias, Juan and Scheffer, Lou and Xu, CS and Hess, Harald and Fetter, Richard and Chklovskii, Dmitri and Basri, Ronen} } @article {1245, title = {Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction.}, journal = {Computer Vision and Pattern Recognition (CVPR)}, year = {2010}, month = {2010}, pages = {1767-74}, issn = {1063-6919}, doi = {10.1109/CVPR.2010.5539846}, author = {Veeraraghavan, Ashok and Genkin, Alex V and Vitaladevuni, Shiv and Scheffer, Lou and Xu, CShan and Hess, Harald and Fetter, Richard and Cantoni, Marco and Knott, Graham and Chklovskii, Dmitri B} }