NEURACELL

NeuraCell is a deep-learning based tool for fast porous material characterization. Obtain the most important parameters that characterize the structure of your materials. These parameters include pore size, anisotropy ratio, anisotropy angle, pore density and many more.

NeuraCell >



Upload image
01
ORIGINAL IMAGE
Any kind of image, from any source
Cell detection
02
SEGMENTED IMAGE
Result image with detected masks
Supervised editing
03
MEASUREMENTS
Measurements performed on individual masks
Results & export
04
DOWNLOAD
User downloads all results including ROIs

Cell size 3D

Cell Size 3D

The 2D cell size is calculated as the average length of 8 equally separated radii in every detected cell. Then, for 3D, a factor is applied:

$$ {\overline{\phi}_{3D}=1.273\cdot\overline{\phi}_{2D}} $$

Anisotropy

Anisotropy

Average of the ratios between the largest diameter and its perpendicular of every cell. The maximum anisotropy angle is the average angle of the largest diameter of all cells with respect to the horizontal.

Cell density

Cell density

Ratio between the total detected area and the number of cells. A theoretical value is also calculated using the relative density (ρr):

$$ { N_{v} = \frac{6(1-\rho_{r})}{\pi \overline{\phi}_{3D}} } $$

Supervision

Supervision

Check the option "Results supervision" to remove bad detections and perform user-assisted inferences in the images.




Need more information? Check out our scientific publication.


Link to publication >




Current version: NeuraCell 1.4