Computer Vision Techniques for Cancerous Cells Analysis in FIB-SEM Images

A New Computer-Aided Detection System for Pulmonary Nodule in CT Scan Images of Cancerous Patients

Introduction: In the lung cancers, a computer-aided detection system that is capable of detecting very small glands in high volume of CT images is very useful.This study provided a novelsystem for detection of pulmonary nodules in CT image. Methods: In a case-control study, CT scans of the chest of 20 patients referred to Yazd Social Security Hospital were examined. In the two-dimensional and ...

The SEM-FIB Workbench

The Nanorobotics series developed by Klocke Nanotechnik extend Scanning Electron or Ion Microscopes to material processing systems. The included automation allows the whole field of handling, assembly and manufacturing like known from a normal desktop system – now with nano-precision, including various kinds of image generation by using different sensors. Applications are in the field of Materi...

Robust Techniques for Computer Vision

Enhancing Materials and Device Analysis Capability in the SEM and FIB-SEM by using a Nanomanipulator

Nanomanipulators, whilst commonly used to lift out TEM samples prepared in the FIB, have a number of other potential applications and can aid in the chemical and crystallographic analysis of samples. Here, we discuss some of these alternative uses of nanomanipulators and show how they enable the EDS and EBSD analysis of thin samples in the FIB-SEM as well as serve as electrical probes and enabl...

Performance Evaluation of Filtering Techniques For Cancerous Lung Images

Mrs. Surekha Nigudgi Department of Bio-medical Engineering, ACS College of Engineering Bengaluru-74 Email:[email protected] Dr G M Patil Department of Bio-medical Engineering, ACS College of Engineering Bengaluru-74 Email:[email protected] Dinshid T Ummer Department of Bio-medical Engineering, ACS College of Engineering Bengaluru-74 Email: [email protected] Prathibha H M Department of Bi...