Cellular & Molecular Imaging

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.

The following data includes raw images, metadata, measurements and processed images as well as classifiers for image segmentations and masks created with the ImageJ/Fiji plugin Labkit to measure the leaf area. This dataset provides all acquired information for my Bachelor's thesis about leaf traits of Bryophyta related moss species.

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.

Using lacZ reporter mouse models, we mapped expression of the HH ligand SHH, HH receptors, and GLI transcription factors in fungiform, circumvallate and foliate taste papillae in early and late postnatal and adult stages. In adults we also studied the soft palate, and the geniculate and trigeminal ganglia, which extend afferent fibers to the anterior tongue.

to be described

This study investigates the replication and assembly of avian reovirus (ARV) using a multiscale imaging approach combining FIB tomography, serial electron tomography, in situ cryo-electron tomography, and Raman microscopy. The results reveal that ARV viral factories are functionally compartmentalized, with an inner fluid phase supporting viral core formation and RNA assortment, while the peripheral phase promotes RNA replication, double-layered particle formation, and virion assembly. FIB 3D reconstruction and model (aligned and denoised), Serial electron tomography (reconstructed joined tomograms from plastic sections and model) and cryo electron tomography from lamella (reconstructed tomogram and binned-3).

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.

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.

Fluorescence imaging across the near-infrared (NIR, 700–1000 nm) and shortwave infrared (SWIR, 1000–2000 nm) regions offers significant advantages for biomedical applications, yet photophysical enhancements achieved with NIR and SWIR chromophores observed in solution often fail to translate to complex biological environments. Fluorous-soluble fluorophores, fluorofluorophores, face additional challenges, exhibiting poor brightness and photostability when dissolved in perfluorocarbons (PFCs) due to unfavorable interactions with the fluorous phase. Here, we report counterion exchange as a strategy to enhance the photophysical properties of two heptamethine cyanine fluorofluorophore for NIR and SWIR imaging. Exchanging the small chloride counterion with a large, fluorinated aryl borate counterions significantly improved the brightness (10-fold) and photostability (57-fold) in PFCs. These enhancements were successfully translated across multiple biological systems from macrophage cells to NIR imaging zebrafish retinal tissue and finally to SWIR imaging in mice. These results demonstrate that strategic counterion modification provides a straightforward approach to optimize fluorofluorophores, with solution-phase improvements that translate to in vivo NIR and SWIR imaging.

"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."