qt3uw/qt3-utils

Data Acquisition for Confocal Microscope and Spin Control Experiments

Language: Python - Size: 24.2 MB - Last synced: about 4 hours ago - Pushed: about 23 hours ago - Stars: 2 - Forks: 6

JaneliaSciComp/workstation

Janelia Workstation

Language: Java - Size: 98 MB - Last synced: 14 minutes ago - Pushed: about 9 hours ago - Stars: 21 - Forks: 11

melchisedech333/laser-scanning-microscopy

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

Language: PHP - Size: 4.39 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 4 - Forks: 1

Edgar-La/Procesamiento_digital_de_imagenes-Microscopia_confocal

Language: MATLAB - Size: 41 MB - Last synced: about 2 months ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 2

lauraluebbert/confocal_z-stack_analysis

Imaging experiments in Biology often involve the acquisition of confocal z-stack images to quantify fluorescent signal in a biological sample. These z-stacks are usually analyzed using open-source programs such as FIJI, which are notoriously frustrating to work with, and do not facility intuitive high-throughput analysis of many images at once. Manual image analysis is labor-intensive, time-consuming, and prone to human error. I compiled two notebooks to streamline two of the most commonly performed tasks in the analysis of confocal z-stack images: the generation of "pretty" maximum projections, and the analysis of pixel values/ fluorescence from sum projections.

Language: Jupyter Notebook - Size: 177 KB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 2 - Forks: 3

Russel88/RCon3D

3D Analysis of confocal images of microbial biofilms/communities

Language: R - Size: 12 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 4 - Forks: 1

pmascalchi/ImageJ_Export-LIF-as-Individual-Images

ImageJ / Fiji macro to automatically export Leica LIF file as individual images (batch mode available)

Language: ImageJ Macro - Size: 37.1 KB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 6 - Forks: 4

SharifAmit/CalDenoise

[Pillow] Denoising Images retrieved from Confocal Calcium Imaging.

Language: Python - Size: 79.2 MB - Last synced: 2 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

CardiAP/CardiAp

Python Server for performing biomedical images analysis

Language: Python - Size: 5.18 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 4 - Forks: 1

AlexSath/prodivis

A tool to accurately normalize and visualize protein distribution in 3D structures imaged with confocal microscopy using z-stacks.

Language: Python - Size: 6.12 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

WeisongZhao/AdaptiveOptics.simulation

Simulation for sensorless adaptive optics (Confocal microscopy, Modal method)

Language: MATLAB - Size: 124 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 16 - Forks: 4

amarcog/Immunofluorescence_2D_Quantification

Versatile Fiji-imagej macro for 2D quantification of each marker inside your immunofluorescence staining in less of 1 minute per image. Control critical steps for segmentation.

Language: ImageJ Macro - Size: 1.87 MB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

gabboraron/diagnosztikai_celu_orvosi_kepalkotas

Képalkotás szenzor adatokból

Size: 15.4 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 1

SaradhaVenkatachalapathy/Chromsome-intermingling-region-indentifcation-and-characterisation-of-protein-levels

Analysis performed for the Belyaeva et.al PNAS 2017 Paper

Language: R - Size: 87.9 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 1

rjlopez2/AnlysisOfWaves

Repository containing methods applied for the analysis of the data in the SERCA publication

Language: R - Size: 423 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

AnshumanJaysingh/cell_segment_intensity_distribution

The MatLab code takes confocal TIFF images of cells as input and plots the distribution of different channels after segmentation of the image into features bases on the type of organelles. For getting the membrane features, distance transform is used to obtain a continuos membrane region.

Language: MATLAB - Size: 24.4 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

dcluet/FIND-CURVE

Automated determination of cell membrane curvature from 3D stacks using the radius of osculating circle approach.

Language: Java - Size: 266 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0