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.
BioImage Archive:S-BIAD2244 · Helen Parkinson · Theileria parva
Purpose: Construct and analyse digital X-ray images in immobilised mice using an X-ray scanner or digital 3D reconstructions of immobilised mice using computed X-ray microtomography (μCT). Experimental design: 4M + 4F minimum number of animals; 14 weeks of age at test.
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 366.1
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.
BioImage Archive:S-BIAD1138 · HPAIT HPAIT · Theileria parva
Sequencing the human genome gave new insights into human biology and disease. However, the ultimate goal is to understand the dynamic expression of each of the approximately 20,000 protein-coding genes and the function of each protein. Uhlen et al. now present a map of protein expression across 32 human tissues. They not only measured expression at an RNA level, but also used antibody profiling to precisely localize the corresponding proteins.
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 309.1
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.
A large collection of Scanning Electron Microscopy images of protists and their taxonomic annotations from the Marquesas Island area (Tara Oceans survey, Southern Pacific Ocean).
Tara Expeditions are global scientific voyages that probe morphological and molecular diversity, evolution and ecology of marine plankton to explore how they are impacted by changes in the Earth's climate. The first expeditions collected samples of marine plankton containing viruses, bacteria, archaea, protists and planktonic metazoans living in the photic layer of the world's oceans. These expeditions, the first taking place between 2009 and 2013, include Tara Oceans: a global view, and Tara Oceans Polar Circle, both of which followed the same sampling protocol.
This dataset includes 1074 pictures of 284 planktonic taxa (mainly microalgae and other Ciliate and Radiolarian protists) collected from the vicinity of the Marquesas Islands in the Southern Pacific Ocean during the Tara Oceans expedition. Multiple samples particularly of the size fractions 5-20 and 20 180 um from four sites and two depths were processed with different methods and studied in detail using scanning electron microscopy.
This dataset comprises raw, 16-bit monochrome microscopy images of human red blood cells infected with malaria at various degrees of parasitemia. The microscope used to caputure the images is a Leica DMi8 inverted brightfield microscope, using a 40x/1.3 oil immersion apochromatic objective. The cells are imaged at either one wavelength (at 405 nm) or three simultaneous wavelengths (365 nm, 405 nm, and broadband lamp). Each condition contains many fields of view for a single time point.
The directory structure is organized into four date-stamped folders. Three folders contain experiments used for training and validation data collection, including two folders with images of infected cells ('SCP-2019-10-24 Malaria' and 'SCP-2019-11-12 Malaria'), and one folder containing a healthy control dataset ('SCP-2020-01-08 Healthy RBC conditions').
'SCP-2020-06-20 Titration' is an experiment whereby a high parasitemia malaria culture was diluted serially into healthy red blood cells. Dilution points are contained within subfolders labelled by the dilution point.
"This dataset comprises processed images and class labels of UV microscopy images of human red blood cells infected with malaria at various degrees of parasitemia. The microscope used to caputure the images is a custom-built UV microscope employing a quartz Zeiss Ultrafluar 100x/0.85 finite conjugate objective. The cells are imaged at either one wavelength in deep UV (285 nm) or three simultaneous wavelengths (285 nm, 365 nm, 565 nm). Each condition contains many fields of view, extensive z-stacks, and a single time point. The directory structure is organized first by category: 'Training and validation', or 'Titration 2020-06-20'. Training and Validation is a collection of time-stamped data collection sessions acquired during development of the method. 'Titration 2020-06-20' is an experiment whereby a high parasitemia malaria culture was diluted serially into healthy red blood cells. Each dilution point was imaged and resides in a time-stamped directory."
All symptoms of malaria disease are associated with the asexual blood stages of development, involving cycles of red blood cell (RBC) invasion and egress by the Plasmodium spp. merozoite. Merozoite invasion is rapid and is actively powered by a parasite actomyosin motor. The current accepted model for actomyosin force generation envisages arrays of parasite myosins, pushing against short actin filaments connected to the external milieu that drive the merozoite forwards into the RBC. In Plasmodium falciparum, the most virulent human malaria species, Myosin A (PfMyoA) is critical for parasite replication. However, the precise function of PfMyoA in invasion, its regulation, the role of other myosins and overall energetics of invasion remain unclear. Here, we developed a conditional mutagenesis strategy combined with live video microscopy to probe PfMyoA function and that of the auxiliary motor PfMyoB in invasion. By imaging conditional mutants with increasing defects in force production, based on disruption to a key PfMyoA phospho-regulation site, the absence of the PfMyoA essential light chain, or complete motor absence, we define three distinct stages of incomplete RBC invasion. These three defects reveal three energetic barriers to successful entry: RBC deformation (pre-entry), mid-invasion initiation, and completion of internalisation, each requiring an active parasite motor. In defining distinct energetic barriers to invasion, these data illuminate the mechanical challenges faced in this remarkable process of protozoan parasitism, highlighting distinct myosin functions and identifying potential targets for preventing malaria pathogenesis.