A study on the application of machine learning techniques on 2D and 3D SMLM - SMLM Software Challenge -
نویسندگان
چکیده
Machine learning techniques are successfully used in many fields, image processing and computer vision among others. Reconstruction software in super-resolution microscopy, on the other hand, are still very user dependent, leading to an error prone processing of the acquired frames; image processing techniques, when exploited, are often very basic. This though now, machine learning has proven his success with respect to intra-class variability, non-rigid geometric deformations and the presence of few training examples, to name a few.
منابع مشابه
Automatic Bayesian single molecule identification for localization microscopy
Single molecule localization microscopy (SMLM) is on its way to become a mainstream imaging technique in the life sciences. However, analysis of SMLM data is biased by user provided subjective parameters required by the analysis software. To remove this human bias we introduce here the Auto-Bayes method that executes the analysis of SMLM data automatically. We demonstrate the success of the met...
متن کاملDrift Correction in Single Molecule Localization Microscopy Using Nearest Neighbor Analysis
Single Molecule Localization Microscopy has opened the possibility to study the cell nuclear architecture at radically enhanced optical resolution. 1–3 Owed to the necessity to acquire several thousands of individual images, the resolution of SMLM reconstructions depends largely on correction of drift occurring during the acquisition process. Previously, drift correction was developed based on ...
متن کاملHand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study
Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...
متن کاملA Hybrid Machine Learning Method for Intrusion Detection
Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
متن کاملQuantitative super-resolution single molecule microscopy dataset of YFP-tagged growth factor receptors
Background Super-resolution single molecule localization microscopy (SMLM) is a method for achieving resolution beyond the classical limit in optical microscopes (approx. 200 nm laterally). Yellow fluorescent protein (YFP) has been used for super-resolution single molecule localization microscopy, but less frequently than other fluorescent probes. Working with YFP in SMLM is a challenge because...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016