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175 results for “cell morphology”
Dataset of "Tuning the morphology and energy levels in organic solar cells with metal- organic framework nanosheets"
<p>Metal-organic framework nanosheets (MONs) have proved themselves to be useful<br>additives for enhancing the performance of a variety of thin film solar cell devices. However,<br>to date only isolated examples have been reported. In this work we take advantage of the<br>modular structure of MONs in order to resolve the effect of their different structural and<br>optoelectronic features on the performance of organic photovoltaic (OPV) devices. Three<br>different MONs were synthesized using different combinations of two porphyrin-based ligands<br>meso-tetracarboxyphenyl porphyrin (TCPP) or tetrapyridyl-porphyrin (TPyP) with either zinc<br>and/or copper ions and the effect of their addition to polythiophene-fullerene (P3HT-PCBM)<br>OPV devices was investigated. The power conversion efficiency (PCE) of devices was found to<br>approximately double with the addition of MONs of Zn2(ZnTCPP), but was unchanged with<br>the addition of Cu2(ZnTPyP) and halved upon the addition of Cu2(CuTCPP) compared to<br>devices without nanosheets. Our analysis indicates that there are three different mechanisms<br>by which MONs can influence the photoactive layer – light absorption, energy level alignment,<br>and morphological changes. Analysis of external quantum efficiency, UV-vis photoelectron<br>spectroscopy data found that MONs have similar effects on light absorption and energy level<br>alignment. However, atomic force and Raman microscopy studies revealed that the nanosheet<br>thickness and lateral size are crucial parameters in enabling the MONs to act as beneficial<br>additives resulting in an improvement of the OPV device performance. We anticipate this<br>study will aid in the design of MONs and other 2D materials for future use in other light<br>harvesting and emitting devices.</p>
Merging Bioactivity Predictions from Cell Morphology and Chemical Fingerprint Models Using Similarity to Training Data
<p>The applicability domain of machine learning models trained on structural fingerprints for the prediction of biological endpoints is often limited by the lack of diversity of chemical space of the training data. In this work, we developed “similarity-based merger models” which combined the output of individual models trained on cell morphology (based on Cell Painting) and chemical structure (based on chemical fingerprints) and the structural and morphological similarities of the test compounds to training compounds. We applied these similarity-based merger models using logistic equations to weigh individual features and predicted assay hit calls of 177 assays from ChEMBL, PubChem and the Broad Institute, where the required Cell Painting annotations were available. We found that the similarity-based merger models outperformed other models with an additional 20% assays (79 out of 177 assays) with an AUC>0.70 compared with 65 out of 177 assays using structural models and 50 out of 177 assays using Cell Painting models. Our results demonstrate that similarity-based merger models combining structure and cell morphology models can more accurately predict a wide range of biological assay outcomes and expand the applicability domain by better extrapolating to new structural and morphology spaces.</p>
Predicting gene expression using morphological cell responses to nanotopography
<p>This dataset contains the raw files, results files and R workspace files (.RData) associated with the paper:</p> <p>Predicting gene expression using morphological cell responses to nanotopography</p> <p>Please note that this dataset is separated according to the Figure presented in the published and peer-reviewed version of the manuscript. Particular folders contain its own README file to facilitate reproduction/replication of results and figures. </p>
Morphological profiles extracted from Human MCF7 cells – compound-profiling experiment BBBC021.
<p>This contains morphological profiles extracted from Human MCF-7 cells from the compound-profiling experiment BBBC021 hosted at the Broad Bioimage Benchmark Collection.</p> <p>The profiles were extracted using the software SCIP.</p>
Supplementary Tables for Expression of cell-wall related genes is highly variable and correlates with sepal morphology
<p>Supplementary Information and script for "Expression of cell-wall related genes is highly variable and correlates with sepal morphology"</p> <p>R scripts for analysis</p> <p>Data necessary to run analyses</p> <p>Generated data</p> <p>Supplementary Tables</p> <p> </p>
Dataset for publication "Influence of precursor morphology and cathode processing on performance and cycle life of sodium-zinc chloride (Na-ZnCl2) battery cells"
<p>High-temperature sodium-metal battery; sodium-metal halide battery (ZEBRA); molten-salt battery; zinc battery for stationary energy storage; alkali metal anode.</p> <p>Datasets used in the above manuscript. </p>
Text-fig. 7. Exbeckettia mastixioides (E.REID et M.CHANDLER) comb. nov. Details of anatomy in transverse section on cut surfaces from bilocular fruit shown in Text-fig. 6i, V. 23013(3). a: Details of seed (S), locule (L), distinct endocarp planes of separation (arrows). b: Detail of endocarp adjacent to the locule, and surrounding mesocarp. Blue lines indicate thickness of sclerenchyma lining the locule. Note layer of horizontally oriented periclinal fibres a few cells thick, lining the locule (arrow). c: Enlargement showing parenchyma cells of the mesocarp decreasing in diameter toward the periphery. d: Enlargement showing fibres and sclereids of the endocarp. e: Sharp contact between endocarp and mesocarp. f, g: Detailed anatomy of endocarp including locule lining, and contact with mesocarp. Scale bars 2 mm in (a), (b), 1 mm in (c–g). in Mastixioid Fruits (Cornales) From The Early Eocene London Clay Flora: Morphology, Anatomy And Nomenclatural Revision
Text-fig. 7. Exbeckettia mastixioides (E.REID et M.CHANDLER) comb. nov. Details of anatomy in transverse section on cut surfaces from bilocular fruit shown in Text-fig. 6i, V. 23013(3). a: Details of seed (S), locule (L), distinct endocarp planes of separation (arrows). b: Detail of endocarp adjacent to the locule, and surrounding mesocarp. Blue lines indicate thickness of sclerenchyma lining the locule. Note layer of horizontally oriented periclinal fibres a few cells thick, lining the locule (arrow). c: Enlargement showing parenchyma cells of the mesocarp decreasing in diameter toward the periphery. d: Enlargement showing fibres and sclereids of the endocarp. e: Sharp contact between endocarp and mesocarp. f, g: Detailed anatomy of endocarp including locule lining, and contact with mesocarp. Scale bars 2 mm in (a), (b), 1 mm in (c–g).
Text-fig. 5. Mastixiopsis nyssoides KIRCHH. a, b, g–n: Organic preservation. a, b: Lignitic, unpermineralized, early Eocene Dorset Pipe clays at Arne, V. 40762. a: Ventral view (original illustration from pl. 18, fig. 1 of Chandler 1962). b: Transverse fracture, somewhat distorted by compression. c–f: Pyrite permineralization. c: Ventral view, V. 22963(1) from Sheppey, originally listed as Mastixia cantiensis. d: Lateral view, V. 22969 from Sheppey (identified as Mastixia grandis by Reid and Chandler 1933: pl. 25, fig. 8). e: Equatorial transverse physical section from (c). f: Equatorial transverse physical section from (d). g: Detail of pericarp from (e), showing endocarp formed of dense fibrous tissue, surrounded by mesocarp of anticlinally oriented larger cells. h: Detail of pericarp from (f). i–n: Type material from Eocene of Riestadt, Germany, MNB. i: Ventral view. j, k: Ventral and apical views of holotype. l: View of the transversely fractured surface from (j) showing horseshoe shaped locule. m: Equatorial transverse physical cut of the specimen in (i); note yellow resin cavity (arrow). n: Scanning electron microscopy of pericarp from (l) with locule lining at lower edge of image. Note dense endocarp tissue composed of small cells (fibres and sclereids), extending about 3/5 of distance to periphery, surrounded by mesocarp of larger, anticlinally oriented cells. Scale bars 1 cm in (a–f), (i–k), 1 mm in (g), 2 mm in (h), 3 mm in (l), m, 250 Μm in (n). Bar in (d) applies also to (c). Bar in (l) also applies to (m). Bar in (i) also applies to (j) and (k). in Mastixioid Fruits (Cornales) From The Early Eocene London Clay Flora: Morphology, Anatomy And Nomenclatural Revision
Text-fig. 5. Mastixiopsis nyssoides KIRCHH. a, b, g–n: Organic preservation. a, b: Lignitic, unpermineralized, early Eocene Dorset Pipe clays at Arne, V. 40762. a: Ventral view (original illustration from pl. 18, fig. 1 of Chandler 1962). b: Transverse fracture, somewhat distorted by compression. c–f: Pyrite permineralization. c: Ventral view, V. 22963(1) from Sheppey, originally listed as Mastixia cantiensis. d: Lateral view, V. 22969 from Sheppey (identified as Mastixia grandis by Reid and Chandler 1933: pl. 25, fig. 8). e: Equatorial transverse physical section from (c). f: Equatorial transverse physical section from (d). g: Detail of pericarp from (e), showing endocarp formed of dense fibrous tissue, surrounded by mesocarp of anticlinally oriented larger cells. h: Detail of pericarp from (f). i–n: Type material from Eocene of Riestadt, Germany, MNB. i: Ventral view. j, k: Ventral and apical views of holotype. l: View of the transversely fractured surface from (j) showing horseshoe shaped locule. m: Equatorial transverse physical cut of the specimen in (i); note yellow resin cavity (arrow). n: Scanning electron microscopy of pericarp from (l) with locule lining at lower edge of image. Note dense endocarp tissue composed of small cells (fibres and sclereids), extending about 3/5 of distance to periphery, surrounded by mesocarp of larger, anticlinally oriented cells. Scale bars 1 cm in (a–f), (i–k), 1 mm in (g), 2 mm in (h), 3 mm in (l), m, 250 Μm in (n). Bar in (d) applies also to (c). Bar in (l) also applies to (m). Bar in (i) also applies to (j) and (k).
◂Fig. 5 Gametogenesis in male and female Veneriserva pygoclava. A–D Semi-thin histological sections of female Veneriserva pygoclava, stained with toluidine blue. A Cross-section of a female Veneriserva. B Close-up of large mature oocytes without discernible nurse cells. C Developing oocytes attached to mesenteries (mes), and oogonia proliferating from the ventral side of the dorsal blood vessel (bv). D Details of vitellogenic oocytes and nurse cells. Arrowheads indicate brownstained yolk platelets and yolk bodies. E Live sperm cells captured in a light micrograph. F–G Cross-sections of male Veneriserva. Note the absence of a gut in the cross-sections. Abbreviations—ac acicula, acr acrosome, bv blood vessel, coe coelomic cavity, mes mesentery, nc nurse cell, nn nurse cell nucleus, nu sperm cell nucleus, Oo oocyte, on oocyte nucleus, sp spermatogonia, vnc ventral nerve cord in Hardly Venus's servant-morphological adaptations of Veneriserva to an endoparasitic lifestyle and its phylogenetic position within Dorvilleidae (Annelida)
◂Fig. 5 Gametogenesis in male and female Veneriserva pygoclava. A–D Semi-thin histological sections of female Veneriserva pygoclava, stained with toluidine blue. A Cross-section of a female Veneriserva. B Close-up of large mature oocytes without discernible nurse cells. C Developing oocytes attached to mesenteries (mes), and oogonia proliferating from the ventral side of the dorsal blood vessel (bv). D Details of vitellogenic oocytes and nurse cells. Arrowheads indicate brownstained yolk platelets and yolk bodies. E Live sperm cells captured in a light micrograph. F–G Cross-sections of male Veneriserva. Note the absence of a gut in the cross-sections. Abbreviations—ac acicula, acr acrosome, bv blood vessel, coe coelomic cavity, mes mesentery, nc nurse cell, nn nurse cell nucleus, nu sperm cell nucleus, Oo oocyte, on oocyte nucleus, sp spermatogonia, vnc ventral nerve cord
◂Fig. 1 Morphology of thecate and coccoid cells, with labelled thecal plates. a–c, i, m Light microscopy, d–h, k–l scanning electron microscopy. a Ventral view of strain GeoM*788; b dorsal view of strain GeoM*793; c apical view of strain GeoK*044; d ventral view of strain GeoK*037; e dorsal view of strain GeoM*788; f apical view of strain GeoK*024, with the dehiscence of epithecal opening indicated by a blue line; g antapical view of strain GeoK*044; h leftlateral view of strain GeoM*866; i motile cell of strain GeoK*037; k–m coccoid cells showing variability in shape and size of strains k GeoM*866, l GeoM*793 and m GeoK*024. Abbreviations: n′: apical plate, n′′: precingular plate, n′′′: postcingular plate, n′′′′: antapical plate, na: anterior intercalary plate, nC: cingular plate, Sa: anterior sulcal plate, Sd: right sulcal plate, Sp: posterior sulcal plate. Ss: left sulcal plate. Scale bar: 10 µm. UA: 15 kV in Morphological and molecular variability of Peridinium volzii Lemmerm. (Peridiniaceae, Dinophyceae) and its relevance for infraspecific taxonomy
◂Fig. 1 Morphology of thecate and coccoid cells, with labelled thecal plates. a–c, i, m Light microscopy, d–h, k–l scanning electron microscopy. a Ventral view of strain GeoM*788; b dorsal view of strain GeoM*793; c apical view of strain GeoK*044; d ventral view of strain GeoK*037; e dorsal view of strain GeoM*788; f apical view of strain GeoK*024, with the dehiscence of epithecal opening indicated by a blue line; g antapical view of strain GeoK*044; h leftlateral view of strain GeoM*866; i motile cell of strain GeoK*037; k–m coccoid cells showing variability in shape and size of strains k GeoM*866, l GeoM*793 and m GeoK*024. Abbreviations: n′: apical plate, n′′: precingular plate, n′′′: postcingular plate, n′′′′: antapical plate, na: anterior intercalary plate, nC: cingular plate, Sa: anterior sulcal plate, Sd: right sulcal plate, Sp: posterior sulcal plate. Ss: left sulcal plate. Scale bar: 10 µm. UA: 15 kV
Thin blood smear images of red blood cells with rouleaux formation morphology and normal morphology
<p>This dataset contains images of thin blood smear with normal red blood cell morphology and rouleaux red blood cell morphology. Ethical approval with approval number: NHREC/17/03//2018 was obtained from Kano state ministry of health. Blood samples from 100 malaria infected patients were collected from Asiya Bayero pediatric hospital, kano state, Nigeria. Thick and thin blood smear slides were prepared using field stain. To ensure there was no bias in slide preparation, slides used for hospital diagnosis prepared under limited and constrained conditions were used as such types of slides represent the true reality of malaria diagnosis in less developed countries.Thin blood smear microscopy was performed by an expert microscopist and each slide was labeled according to the presence of Rouleaux formation or not among others. Out of 100 samples collected, 28 samples had rouleaux formation morphology.</p> <p>A 12MP iPhone 10 camera was attached to a microscope’s eyepiece. Pictures of different field of views for each slide were captured using the iPhone’s camera. For each slide, a minimum of 10 different field of views were captured. 616 images were captured for slides with rouleaux formation. To create a balanced dataset an equal number, 616 images were also captured for slides with normal morphology. To increase the size and variation of the dataset. 312 Digital images of thin blood smear slides with Giemsa staining collected from Murtala Muhammad specialist hospital were added. out of the 312 images, 156 had rouleaux RBC morphology and 156 had normal RBC morphology. Image capture was conducted in the morning, afternoon and evening and in different rooms with different lighting conditions to introduce diverse levels of illumination in the images The captured images from both hospitals had a size of 4032x3024 pixels. The background of the images were cropped to give a size 2500x2500 which were then sliced to give a final size of 750x750 pixels. The final data set consists of 12,356 thin blood smear images with rouleaux formation morphology and 12,356 thin blood smear images with normal red blood cell morphology. Different CNN architectures were trained for the binary classification of the dataset.</p>
Data from: 3D morphology of an outer-hair-cell hair bundle increases its displacement and dynamic range
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Evaluation of the impact of imprinted polymer particles on morphology and motility of breast cancer cells by using digital holographic cytometry
<p>Supplemented Videos used in "Evaluation of the impact of imprinted polymer particles on morphology and motility of breast cancer cells by using digital holographic cytometry"</p>
Joint profiling of cell morphology and gene expression during in vitro neurodevelopment
<p>Cell Painting processed data for "Joint profiling of cell morphology and gene expression during in vitro neurodevelopment".</p>
Data from: Coordinated ARP2/3 and glycolytic activities regulate the morphological and functional fitness of human CD8+ T cells
<p>CD8<sup>+</sup> T cells rely on actin cytoskeleton remodeling to search for target cells and assemble the immunological synapse (IS) for lethal hit delivery. We here investigated how the energy expenditure related to actin remodeling might influence the fitness of human cytotoxic T cells. We first established that the spreading ability of CD8<sup>+</sup> T cells in conditions of LFA-1 and TCR engagement mirrored the cytotoxic potential of these cells. Morphological and functional fitness were both potentiated by IL-2, which co-stimulated the transcription of glycolytic enzymes, actin isoforms and the subunits of the ARP2/3 complex. This molecular program scaled with F-actin content and cell spreading. Blockade of glycolysis impaired F-actin remodeling at the lamellipodium, chemokine-driven motility and synaptic adhesion, while blockade of mitochondrial OXPHOS affected F-actin less severely and selectively reduced cell elongation during confined migration. Although T cells deficient for the ARP2/3 subunit ARPC1B increased their ATP content upon IL-2 exposure, their morphological and functional defects were only partially corrected, pointing to the pivotal position of ARP2/3 mediated actin polymerization as integrator of T cell energetic state. Our study therefore highlights that the ability of effector T cells to migrate, form IS and ultimately kill target cells depends on a tight coordination of their metabolic and actin remodeling activities.</p>
Dataset for "Understanding Wavelength-dependent Synergies between Morphology and Photonic Design in TiO2-based Solar Powered Redox Cells"
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Robustness of organ morphology is associated with modules of co-expressed genes related to plant cell wall
<p>Reproducibility in organ size and shape is a fundamental trait of living organisms. The mechanisms underlying such robustness remain, however, to be elucidated. In the manuscript <a href="https://www.biorxiv.org/content/10.1101/2022.04.26.489498v1"><strong>"Robustness of organ morphology is associated with modules of co-expressed genes related to plant cell wall", </strong>doi: https://doi.org/10.1101/2022.04.26.489498</a>, we took the sepal of Arabidopsis as a model, and we investigated whether variability of gene expression plays a role in variation of organ morphology.</p> <p>To address this question, we produced a dataset composed of both transcriptomic and morphological information obtained from 27 individual sepals from wild-type plants.</p> <p>This repository contains the raw confocal image of 30 sepals used as starting point for the analysis, as well as their extracted contours as binary images. These images were used to recover the 3D shape of the sepals.</p> <p>The 30 abaxial sepals were collected at early stage 11, from three different Col-0 wild-type plants, labeled D, E and F, grown simultaneously in experimentally controlled standard conditions. Each sepal was imaged under a confocal microscope using autofluorescence. Immediately following imaging, the sepal was frozen in liquid nitrogen for RNA extraction, on which an RNA-seq analysis was performed.</p> <p><strong>Related informations :</strong></p> <ul> <li>The repository of the numerical tools used for 3D shape extraction as well as the results of geometrical measurements is <a href="http://forge.cbp.ens-lyon.fr/redmine/projects/florivar">here</a>.</li> <li>The repository of RNA-Seq analysis results of these same sepals is here.</li> <li>And the analysis tools used to relate geometrical measurements to RNA-seq data are here.</li> </ul>
Mitochondria morphology quantification datasheet of different MIGA2 expressing cells
<p>Mitochondria morphology quantification datasheet of different MIGA2 constructs expressing Hela cells: WT, MIGA2 KO, MIGA2 KO cells transfected with WT MIGA2, MIGA2 KO cells transfected with MIGA2 mutants (M1, M2, M3).</p>
The Pseudomonas aeruginosa T6SS delivers a periplasmic toxin that disrupts bacterial cell morphology - 6H56
<p>VgrG2b X-ray diffraction data for PDB entry 6H56.</p> <p>=> VgrG2b_p3: Native protein, one dataset</p> <p>=> VgrG2b_SeMet: Se-Met protein, four datasets</p> <p>Data were collected at beamline I02 of Diamond Light Source on 24 Jun 2013 (VgrG2b_p3) and at beamline I04 of Diamond Light Source on 17 Apr 2014 (VgrG2b_SeMet).</p>
Data used in the paper "High Performance H2−Mn Regenerative Fuel Cells through an Improved Positive Electrode Morphology "
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Authors:Javier Rubio-Garcia, Anthony Kucernak, Barun Kumar Chakrabarti , Dong Zhao , Danlei Li2, Yuchen Tang , Mengzheng Ouyang , Chee Tong John Low and Nigel Brandon </p> <p>Title:High Performance H2−Mn Regenerative Fuel Cells through an Improved Positive Electrode Morphology </p> <p>Journal:Batteries</p> <p>DOI:</p> <p>Please cite the above reference if you wish to use this data</p> <p>DOI of data:10.5281/zenodo.7599405</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.