Microscopic images taken using the Quanta 600 FEG Environmental Scanning Electron Microscope in the Nanoscale Characterization Facility at the Krishna P. Singh Center for Nanotechnology.

[MICCAI 2025] MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopic Images

The Mouse Hippocampal Brain Stack Dataset is a high-resolution dataset of serial-section microscopic images of the hippocampal region in a mouse brain. It is designed to support research on 3D reconstruction and non-rigid registration techniques.

Microscopic images of Kitty's claws taken using the Quanta 600 FEG Environmental Scanning Electron Microscope in the Nanoscale Characterization Facility at the Krishna P. Singh Center for Nanotechnology.

Proyecto Detección de Micro plásticos usando microscopia óptica e IA

Microscopic images of Sylvester the fly gathered in northern Philadelphia, PA, USA using the Quanta 600 FEG Environmental Scanning Electron Microscope in the Nanoscale Characterization Facility at the Krishna P. Singh Center for Nanotechnology.

Microscopic images taken of milk (deciduous/baby) teeth from Juno the puppy gathered in Northern Philadelphia, PA, USA using the Quanta 600 FEG Environmental Scanning Electron Microscope in the Nanoscale Characterization Facility at the Krishna P. Singh Center for Nanotechnology.

Automatic tardigrade biomass estimation in microscopic images.

The Art and Science of Photography & Microscopic Photography Prints

End to end cell tracking code for TUBITAK 119e578 project.

Deep Learning-Based Object Detection and Bacteria Morphological Feature Extraction for Antimicrobial Resistance Applications

Microstructure vision-based porosity analysis

CoND: Classification of Neuronal Differentiation

A Fast Algorithm for Material Image Sequential Stitching

Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

Recovering Microscopic Images in Material Science Documents by Image Inpainting

A mini dataset of lithology microscopic images. This Dataset was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. Amin Beheshti.

Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting

🧪 Reproducing the concept of Confocal Laser Scanning Microscope. Using Arduino and easily found materials. Generating images in Grayscale just for fun.

A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images