Cellular & Molecular Imaging

Light/fluorescence microscopy of cells & tissues, and electron/cryo-EM imaging of macromolecular structures — a metadata catalog with a durable link back to the source archive, not a hosted image gallery. These are primary research datasets (often multi-GB to multi-TB), so this platform never downloads or stores the underlying imaging data itself. Datasets already in either source archive are ingested via accession paste/CSV at /mirroring by a Continental Admin (no automated harvesting — neither source archive supports geography-filterable search); a dataset not yet in either archive can instead be submitted directly below by any node operator, for Continental Admin review. Either way, whoever submits an accession or a self-submitted dataset is the one asserting African origin — this platform does not verify it.

curl "https://<hub-domain>/api/v1/cellular-imaging"

Machine Learning-based Phenotypic Imaging to Characterise the Targetable Biology of Plasmodium falciparum Male Gametocytes for Transmission-Blocking Antimalarials

BioImage Archive:S-BIAD633 · Michael Delves (London School of Hygiene & Tropical Medicine) · Plasmodium falciparum 58.1

Preventing parasite transmission from humans to mosquitoes is recognised to be critical for achieving elimination and eradication of malaria. Consequently developing new antimalarial drugs with transmission-blocking properties is a priority. Large screening campaigns have identified many new transmission-blocking molecules, however little is known about how they target transmissible Plasmodium falciparum stage V gametocytes, or how they affect their underlying cell biology. To respond to this knowledge gap, we have developed a machine learning image analysis pipeline to characterise and compare the cellular phenotypes generated by transmission-blocking molecules during male gametogenesis. Using this approach, we studied 40 molecules, categorising their activity based upon timing of action and visual effects on the organisation of tubulin and DNA in the cell. Our data both proposes new modes of action and corroborates existing modes of action of identified transmission-blocking molecules. Furthermore, the characterised molecules provide a new armoury of tool compounds to probe gametocyte cell biology and the generated imaging dataset provides a new reference for researchers to correlate molecular target or gene deletion to specific cellular phenotype. Our analysis pipeline is not optimised for a specific organism and could be applied to any fluorescence microscopy dataset containing cells delineated by bounding boxes, and so is extendible to any disease model.

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publicrestrictedAFDSI-CELL-1089

Rhoptry biogenesis in Plasmodium sporozoites is uncoupled from mitosis and forms distinct pairs

BioImage Archive:S-BIAD3848 · (Adelaide University) · Plasmodium falciparum 58.1

Manuscript abstract: Malaria transmission relies on sporozoite formation in the mosquito midgut and subsequent salivary gland invasion. Despite their importance, the cell biology of these processes remains poorly understood. We apply Mosquito Tissue Ultrastructure Expansion Microscopy (MoTissU-ExM), which physically expands infected mosquito tissues while preserving host and parasite ultrastructure. MoTissU-ExM reveals parasite structures and organelles, including features previously seen only by electron microscopy and novel structures not observed before. We use MoTissU-ExM to investigate sporozoite formation and salivary gland invasion, focusing on rhoptries - secretory organelles critical for host cell invasion. We establish a timeline for rhoptry biogenesis, show that two rhoptries are consumed during salivary gland invasion, and provide the first evidence that rhoptry pairs are specialized for different invasion events. We further characterize RON11 as the first protein involved in sporozoite rhoptry biogenesis; its disruption produces sporozoites that specifically fail to invade salivary gland epithelial cells, blocking parasite transmission. Dataset description: This dataset contains all microscopy data associated with the linked publication "Unlocking new understanding of Plasmodium sporozoite biology with expansion microscopy". All samples were prepared by ultrastructure-expansion microscopy (U-ExM). All samples were imaged on either a Zeiss LSM900 or LSM980 microscope, using either Airyscan-SR or Airyscan-MPLX modes. File names will include the magnification of the objective lens used as follows: 5x = EC Plan-Neofluar 5x/0.16NA Air 10x = Ziess Plan-Apochromat 10x/0.45NA air 20x = Ziess Plan-Apochromat 20x/0.8NA air 40x = Zeiss C-Apochromat 40x/1.2NA water-immersion autocorr M27 63x = Zeiss Plan-Apochromat 63x/1.4NA oil-immersion M27 Images are of mosquito tissues, or isolated parasites, from three Plasmodium species - berghei (Pb), falciparum (Pf), and yoelii (Py). Images are sorted and named as follows (folder name, file name) Plasmodium species > Tissue type/site of isolation > Parasite strain > Species abbreviation, MG/SG, Harvest day(dpi), Dye/Fluorophores (405nm -> 647nm), Objective, Image number (1->X), as (airyscan) For example, the third image taken of a P. berghei oocyst with the RON11iKD parasite line, that was harvested on Day 14 post infection, stained with NHS Ester AF405, BODIPY-FL, anti-Tubulin AF555, and Sytox Red, and imaged on the 40x-objective would be listed as follows: Plasmodium berghei > Infected midguts > RON11iKD > RON11KD MG 14dpi NHSBFlTub-SytR 40x 1 as The majority of images in this dataset are z-stacked images, but for many oocysts a single-slice image of the whole oocyst was taken. When this is the case, the single-slice image will be indicated with "SNAP". A list of the acronyms and abbreviations used in file names are as follows MG = Midgut SG = Salivary gland Spz = Sporozoite HC = Haemocoel dpi = Days post infection NHS = NHS Ester Alexa Fluor 405 BFl = Bodipy-FL-Ceramide BTRc = Bodipy-TR-Ceramide SytR = Sytox Deep Red Tub = anti-tubulin antibody CSP = anti-circumsporozoite protein antibody RAP1 = anti-rhoptry associated protein 1 antibody iKD = Inducible knockdown Ctrl = Control KD = Knockdown RON4 = anti-rhoptry neck protein 4 antibody GFP = anti-green fluorescent protein antibody WGA = Wheat germ aglutinnin BIP = anti-BiP antibody ERD2 = anti-ERD2 antibody

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publicrestrictedAFDSI-CELL-1090

Striated fiber assemblins and associated proteins in Plasmodium falciparum

BioImage Archive:S-BIAD3060 · (Boston Children's Hospital) · Plasmodium falciparum 58.1

Plasmodium parasites, the causative agents of malaria, undergo complex replication within vertebrate and insect hosts, presenting unique opportunities for therapeutic intervention. A key challenge during these replication events, i.e., schizogony in vertebrate red blood cells and sporogony in oocysts within mosquitos, is ensuring the faithful partitioning of nuclei and organelles into the numerous daughter cells that form at once from a single parent. While nuclear microtubule-organizing centers, or centriolar plaques (CPs), have been hypothesized to play a central role in this process, the molecular mediators linking the CPs and organelles remain incompletely defined. Here, we characterize two striated fiber assemblin (SFA) homologs, SFA1 and SFA2, in Plasmodium falciparum and Plasmodium berghei across two hosts. We show that these SFAs form a physical bridge between the CP and the nascent apical poles of daughter cells, facilitating high-fidelity progeny formation during schizogony and sporogony. Loss of SFA function disrupts merozoite and sporozoite formation, with profound consequences for transmission. These findings establish SFAs as essential organizers of parasite morphogenesis and highlight them as potential targets for antimalarial therapies. This submission includes the source microscopy image data for experiments performed in P. falciparum.

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publicrestrictedAFDSI-CELL-1091

Estimating phenotypic traits with morphometry from 16 specimens of thallose liverworts of biological soil crusts collected in Southern Sweden and Germany

BioImage Archive:S-BIAD824 · Kristian Peters (German Center for Integrative Biodiversity Research) · Vigna unguiculata subsp. unguiculata

A reference dataset containing macroscopic and bright-field microscopic images of 16 specimens of thallose liverworts of biological soil crusts collected in Southern Sweden and Germany

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publicrestrictedAFDSI-CELL-1175

A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens (OME-NGFF)

BioImage Archive:S-BIAD882 · Image Data Resource (IDR) (University of Dundee) · Plasmodium falciparum 58.1

OME-NGFF converted study from idr0090. Drug resistance threatens the effective prevention and treatment of an ever-increasing range of human infections. This highlights an urgent need for new and improved drugs with novel mechanisms of action to avoid cross-resistance. Current cell-based drug screens are, however, restricted to binary live/dead readouts with no provision for mechanism of action prediction. Machine learning methods are increasingly being used to improve information extraction from imaging data. Such methods, however, work poorly with heterogeneous cellular phenotypes and generally require time-consuming human-led training. We have developed a semi-supervised machine learning approach, combining human- and machine-labelled training data from mixed human malaria parasite cultures. Designed for high-throughput and high-resolution screening, our semi-supervised approach is robust to natural parasite morphological heterogeneity and correctly orders parasite developmental stages. Our approach also reproducibly detects and clusters drug-induced morphological outliers by mechanism of action, demonstrating the potential power of machine learning for accelerating cell-based drug discovery.

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publicrestrictedAFDSI-CELL-1095

The European Reference Genome Atlas - COPO submission

BioImage Archive:S-BIAD1012 · Various Sample Collectors COPO Project (Earlham Institute) · Vigna unguiculata subsp. unguiculata

The European Reference Genome Atlas (ERGA) initiative is a pan-European scientific response to current threats to biodiversity. Reference genomes provide the most complete insight into the genetic basis that forms each species and represent a powerful resource in understanding how biodiversity functions. This is a collection of the samples included in the study, provided by COPO at Earlham Institute.

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publicrestrictedAFDSI-CELL-1176

Darwin Tree of Life - NHM samples image catalogue

BioImage Archive:S-BIAD588 · Inez Januszczak (Natural History Museum, London) · Vigna unguiculata subsp. unguiculata

The Darwin Tree of Life project has the goal to sequence the genomes of 70,000 species of eukaryotic organisms in Britain and Ireland. This is a collection of photographs of the samples included in the study, provided by the National History Museum (NHM).

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publicrestrictedAFDSI-CELL-1177

Single schistosome worm motility following praziquantel exposure in field populations from Western Kenya

BioImage Archive:S-BIAD3520 · (Texas Biomedical Research Institute) · Schistosoma curassoni

We measured the phenotypic response to praziquantel (PZQ) of Schistosoma mansoni from field populations in Western Kenya. Parasite eggs were sampled from patients at different locations and propagated in the laboratory through snails and hamsters. We cultured adult male worms for 5 days with daily media changes, exposing the worms to PZQ on the second day of culture for 24 h before washing out the drug. Worms were cultured and treated in bulk in 6-well plates and plated individually on day 5 for imaging with our Single Worm Analysis of Movement Pipeline (SWAMP) assay. Worm motility was recorded at the end of day 5 for ~3 minutes using a camera in a black box positioned below the plate, with lighting from above. Data can be analyzed using the SWAMP pipeline.

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publicrestrictedAFDSI-CELL-1277

Progressive heterogeneity of enlarged and irregularly shaped apicoplasts in P. falciparum persister blood stages after drug treatment

BioImage Archive:S-BIAD987 · Chiara E Micchelli (National Institute of Health) · Plasmodium falciparum 58.1

Morphological modifications and shifts in organelle relationships are hallmarks of dormancy in eukaryotic cells. Communications between altered mitochondria and nuclei are associated with metabolic quiescence of cancer cells that can survive chemotherapy. In plants, changes in the pathways between nuclei, mitochondria, and chloroplasts are associated with cold stress and bud dormancy. Plasmodium falciparum parasites, the deadliest agent of malaria in humans, contain a chloroplast-like organelle (apicoplast) derived from an ancient photosynthetic symbiont. Antimalarial treatments can fail because a small fraction of the blood stage parasites enter dormancy and recrudesce after drug exposure. Altered mitochondrial-nuclear interactions in these persisters have been described for P. falciparum, but interactions of the apicoplast remained to be characterized. In the present study, we examined the apicoplasts of dormant persisters obtained after exposure to dihydroartemisinin (a first-line antimalarial drug) followed by sorbitol treatment, or after exposure to sorbitol treatment alone. As previously observed, the mitochondrion of persisters was consistently enlarged and in close association with the nucleus. In contrast, the apicoplast varied from compact and oblate, like those of active ring stage parasites, to enlarged and irregularly shaped. Enlarged apicoplasts became more prevalent later in dormancy, but regular size apicoplasts subsequently predominated when actively replicating parasites recrudesced. All three organelles, nucleus, mitochondrion, and apicoplast, became closer during dormancy. Understanding their relationships in erythrocytic-stage persisters may lead to new strategies to prevent recrudescences and protect the future of malaria chemotherapy.

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publicrestrictedAFDSI-CELL-1092

Label free imaging reveals that cellular physiology is encoded in bacterial community architecture

BioImage Archive:S-BIAD3830 · (Carnegie Mellon University) · Vigna unguiculata subsp. unguiculata

In multicellular organisms, tissue architecture reflects not only dedicated patterning genes but the integrated state of core cellular physiology. Whether the same holds for the communities that bacteria build has been difficult to test at scale. To this end, we developed µPULLI, a high-throughput platform that pairs low-magnification, label-free brightfield timelapse microscopy with computer vision. Using µPULLI, we screened a genome-wide Vibrio cholerae transposon library. Our screen revealed that community architecture is governed as much by core physiology as by dedicated biofilm genes: perturbations to central metabolism, cofactor biosynthesis, and cell-envelope architecture each leave distinctive, pathway-specific fingerprints on how a community develops. These fingerprints arise through both transcriptional and non-transcriptional mechanisms, including cell-surface changes invisible to RNA sequencing. Small molecules drive communities predictably through this phenotype space, and the principle holds across taxonomically diverse pathogens. Emergent community architecture thus encodes the integrated physiological state of its constituent cells, revealing a rich, largely untapped layer of biological information that can be read from simple, low-magnification brightfield videos of growing cultures.

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publicrestrictedAFDSI-CELL-1178

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