Since 2020, synchrotron radiation facilities in several Asia-Pacific countries have been
collaborating in a major project called “SYNAPSE”(Synchrotrons for Neuroscience: an Asia …

Motivation: Recently, confocal light sheet microscopy has enabled high-throughput
acquisition of whole mouse brain 3D images at the micron scale resolution. This poses the …

Reconstruction of neuronal populations from ultra-scale optical microscopy (OM) images is
essential to investigate neuronal circuits and brain mechanisms. The noises, low contrast …

Manually labeling neurons from high-resolution but noisy and low-contrast optical
microscopy (OM) images is tedious. As a result, the lack of annotated data poses a key …

We present an unsupervised machine learning approach for segmentation of static and
dynamic atomic-resolution microscopy data sets in the form of images and video sequences …

Fluorescence microscopy imaging has become an essential technique in the biology and
biomedical science which can provide comprehensive visualization of many biological …

How deep neural networks (DNNs) learn from noisy labels has been studied extensively in
image classification but much less in image segmentation. So far, our understanding of the …

The emergence of high resolution (HR) and ultra high resolution (UHR) airborne remote
sensing imagery is enabling humans to move beyond traditional land cover analysis …

Background Soma localization is an important step in computational neuroscience to map
neuronal circuits. However, locating somas from large-scale and complicated datasets is …

Malignant and benign breast tumors present differently in their shape and size on
sonography. Morphological information provided by tumor contours are important in clinical …