Fluorophore labeling of proteins while preserving native functions is essential for bulk Förster resonance energy transfer (FRET) interaction and single molecule imaging analysis. Here we describe a versatile, efficient, specific, irreversible, gentle and low-cost method for labeling proteins with fluorophores that appears substantially more robust than a similar but chemically distinct procedu...

Semantic mesh segmentation and labeling is a fundamental problem in graphics. Conventional data-driven approaches usually employ a tedious offline pre-training process. Moreover, the number and especially the quality of the manually labeled examples challenge such strategies. In this paper, we develop a low-rank representation model with structure guiding to address these problems. The pre-trai...

In this paper, we apply Bayesian Networks to the labeling of arbitrary string identifiers from search results over a music database. We find that our models perform with a 58% labeling accuracy, with errors primarily occurring when labeling string data not been seen during training. We also present a method for searching potential labelings which attempts to address the exponential blow up of t...

We present a machine learning-based method for jointly labeling POS tags and named entities. This joint labeling is performed by utilizing factor graphs. The variables of part of speech and named entity labels are connected by factors so the tagger jointly determines the best labeling for the two labeling tasks. Using the feature sets of SZTENER and the POS-tagger magyarlanc, we built a model t...

Postembedding immunolabeling using resin sections is the recommended method for beginners carrying out electron microscopy (EM) immunolabeling. Postembedding labeling refers to labeling on sections, which is a method of gaining access to the interior of the cell without the harshness of detergent or ionic extraction as is performed with preembed labeling. Investigators already familiar with rou...

We proposed an automatic bibliography extraction method for research papers scanned with OCR markup. The method uses conditional random fields (CRFs) to label serially OCRed text lines in the article title page as appropriate bibliographic element names. Although we achieved good extraction accuracies for some Japanese academic journals, extraction errors are inevitable. Therefore, this paper p...

Fluorescent labeling of human mesenchymal stem cells (hMSCs) is essential for their study in vitro and in vivo. Here, we report a new chemical biodelivery method for labeling hMSCs using a series of very efficient and highly versatile thiophene-based fluorescent dyes. Such conjugates contribute to a stable and viable labeling of hMSCs and constitute a promising strategy for in vivo applications.

We investigate topological, combinatorial, statistical, and enumeration properties of finite graphs with high Kolmogorov complexity (almost all graphs) using the novel incompressibility method. Example results are: (i) the mean and variance of the number of (possibly overlapping) ordered labeled subgraphs of a labeled graph as a function of its randomness deficiency (how far it falls short of t...

A rapid 5'-labeling method of single-stranded DNA/RNA was developed, which is based on the utilization of an adenylated intermediate in the reaction of T4 RNA ligase. This method is commonly useful for fluorescence-, isotope- or biotin-labeling of the 5'-ends of both oligo- and polynucleotides.