dust mites under microscope

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dust mites under microscope

dust mites under microscope

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Enhanced Promptmicroscopic images, dust mites, arthropod exoskeletons, microscopic scale, six-legged creatures, translucent bodies, tiny legs moving rapidly, hairy appendages, fine details, high magnification, oil immersion objective lens, transmitted light microscopy, phase contrast microscopy, differential interference contrast microscopy, diatoms, pollen grains, fungal hyphae, environmental samples, SEM imaging, backscattered electron imaging, elemental analysis, EDS spectra, X-ray microanalysis, SEM resolution up to 3 nanometers, 10-15 micrometer depth of field, soft focus effect, depth cues created by subtle gradations of brightness, gentle illumination, diffuse reflected light, no harsh shadows, detailed texture mapping, precise color representation, RGB color mode, 24-bit color depth, 3000 x 2000 pixel resolution, JPEG compression, lossless compression, TIFF format, DICOM metadata, geotagging, metadata tags, XML file format, batch processing, automated image analysis software, statistical analysis, histogram equalization, contrast stretching, sharpening filters, unsharp mask, Gaussian blur, median filter, Sobel operator, Laplacian of Gaussian, Canny edge detection, Hough transform, watershed transform, Otsu thresholding, K-means clustering, principal component analysis, PCA, feature extraction, machine learning algorithms, neural networks, supervised learning, unsupervised learning, reinforcement learning, deep learning, convolutional neural networks, CNN, autoencoders, generative adversarial networks, GANs, transfer learning, fine-tuning pre-trained models, hyperparameter tuning, grid search, random search, Bayesian optimization, cross-validation, k-fold cross-validation, stratified sampling, bootstrap resampling, permutation testing, paired t-test, two-sample t-test, one-way ANOVA, Kruskal-Wallis test, non-parametric tests, confidence intervals, hypothesis testing, statistical significance, p-value, effect size, Cohen's d, correlation coefficient, regression analysis, linear regression, logistic regression, decision trees, random forests, gradient boosting, support vector machines, SVMs, k-nearest neighbors, k-NN, naive Bayes, clustering algorithms, hierarchical clustering, DBSCAN, k-means++, expectation-maximization algorithm, spectral clustering, multi-dimensional scaling, MDS, principal coordinate analysis, PCA, multidimensional scaling, dimensionality reduction, feature selection, recursive feature elimination, mutual information, correlation-based feature selection, wrapper methods, embedded methods, filter methods, genetic algorithms, simulated annealing, particle swarm optimization, evolutionary strategies, natural evolution strategies, covariance matrix, precision matrix, Fisher information matrix, likelihood ratio test, Wald test, score test, log-likelihood ratio test, Akaike information criterion, AIC, Bayesian information criterion, BIC, deviance information criterion, DIC, Schwarz criterion, SBC, effective sample size, ESS, effective degrees of freedom, edf, Monte Carlo simulation, Markov chain Monte Carlo, MCMC, Metropolis-Hastings algorithm, Gibbs sampler, Hamiltonian Monte Carlo, HMC, NUTS algorithm, No-U-turn sampler, adaptive rejection sampling, importance sampling, variance reduction techniques, antithetic variates, control variates, stratum sampling, systematic sampling, stratified sampling, cluster sampling, multistage sampling, sequential sampling, adaptive sampling, importance resampling, residual resampling, residual sampling, leave-one-out cross-validation, LOOCV, leave-p-out cross-validation, LPOCV, bootstrapping, jackknife resampling, bagging, random subspace method,

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| سین | بیک گراؤنڈ کی تفصیل | بیک گراؤنڈ پرامپٹ | | -------------------------------------- | ----------------------------------------------- | ----------------------------------------------------------------------------------------------------- | | **Scene 1 – Village Morning** | سورج طلوع ہو رہا ہے، کھیتوں میں ہل، دور پہاڑیاں | *"Beautiful Indian village sunrise, green fields, distant mountains, huts, 2D animation background"* | | **Scene 2 – Tree with Injured Monkey** | بڑا درخت، نیچے پتوں کا فرش، ہلکی روشنی | *"Large banyan tree in rural field, soft sunlight, fallen leaves, emotional tone, 2D background art"* | | **Scene 3 – Farm Working Scene** | کسان اور بندر ساتھ کھیت میں | *"Farmland with plowed soil, sunny sky, 2D village field background"* | | **Scene 4 – Rest Under Tree** | درخت کا سایہ، دوپہر کا وقت | *"Big shady tree in farm, farmer sleeping under tree, hot afternoon light, 2D animation background"* | | **Scene 5 – Tragic Moment** | وہی جگہ، کلہاڑا ہاتھ میں، ڈرامیٹک روشنی | *"Dramatic cartoon scene, monkey holding axe, shocked expression, sunset lighting, emotional tone"* | | **Scene 6 – Ending Scene** | سورج غروب، بندر اکیلا بیٹھا | *"Lonely monkey sitting under tree, sunset sky, emotional ending, 2D animation art"* |

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A hyper-realistic full-body Argentinosaurus in its natural habitat during the Late Cretaceous period, Patagonia. The massive titanosaur stands or slowly walks across a vast prehistoric floodplain surrounded by conifer trees, cycads, and ferns typical of South America 90 million years ago. The scene is set at golden hour with warm sunlight illuminating the dinosaur’s enormous body, emphasizing its immense scale compared to the landscape. Its long neck stretches forward gracefully, tail extending far behind in full view, casting a long shadow on the ground. The skin texture is realistic and detailed, showing wrinkles, muscles, and earthy tones with subtle patterns of gray, brown, and olive. Dust rises gently around its feet as it moves, and a few smaller dinosaurs or pterosaurs can be seen in the background for scale. The sky is partly cloudy, with soft mist near distant mountains and a shallow river reflecting the light. Cinematic composition, ultra-detailed, scientifically accurate, volumetric lighting, 8K, natural color palette, realistic atmosphere, soft depth of field.

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