Our goal was to develop an automated system to determine whether animals have learned and changed their behavior in real-time using a low calculation-power central processing unit (CPU). The bottleneck of real-time analysis is the speed of image recognition. For fast image recognition, 99.5% of the image was excluded from image recognition by distinguishing between the subject and the background. We achieved this by applying a binarization and connected-component labeling technique. This task is important for developing a fully automated learning apparatus. The use of such an automated system can improve the efficiency and accuracy of biological studies. The pond snail Lymnaea stagnails can be classically conditioned to avoid food that naturally elicits feeding behavior, and to consolidate this aversion into long-term memory. Determining memory status in the snail requires real-time analysis of the number of bites the snail makes in response to food presentation. The main algorithm for counting bites comprises two parts: extracting the mouth images from the recorded video and measuring the bite rate corresponding to the memory status. Reinforcement-supervised learning and image recognition were used to extract the mouth images. A change in the size of the mouth area was used as the cue for counting the number of bites. The accuracy of the final judgment of whether or not the snail had learned was the same as that determined by human observation. This method to improve the processing speed of image recognition has the potential for broad application beyond biological fields.
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http://dx.doi.org/10.1109/TBME.2019.2933243 | DOI Listing |
J Pept Sci
March 2025
Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Odense, Denmark.
Fluorescent probes are widely used in cellular imaging and disease diagnosis. Acting as substitute carriers, fluorescent probes can also be used to help transport drugs within cells. In this study, commonly used fluorophores, TAMRA (5-carboxytetramethylrhodamine), PBA (1-pyrenebutyric acid), NBD (nitrobenzoxadiazole), OG (Oregon Green), and CF (5-carboxyfluorescein) were conjugated with the dipeptide β-Ala-Lys, the peptide moiety of the well-established peptide transporter substrate β-Ala-Lys(AMCA) (AMCA: 7-amino-4-methyl-coumarin-3-acetic acid) by modifying it with respect to side-chain length and functional end groups.
View Article and Find Full Text PDFBMC Rheumatol
January 2025
Department of Rheumatology, Overton Brooks VA Medical Center, Shreveport, LA, USA.
Background: Dermatomyositis is a chronic inflammatory condition affecting muscles and skin, often associated with an increased risk of cancer. Specific autoantibodies, including anti-TIF1 (Transcription Intermediary Factor 1), have been linked to this risk. We present a case of dermatomyositis in a male patient positive for anti-TIF1 antibodies, subsequently diagnosed with squamous cell carcinoma of the tonsil, a novel association not previously documented.
View Article and Find Full Text PDFJ Control Release
January 2025
Asymmetric Synthesis and Functional Nanosystems Group (Art&Fun), Institute of Chemical Research (IIQ), CSIC-University of Seville, C/ Américo Vespucio 49, 41092 Seville, Spain. Electronic address:
In this study, we present the first comparative analysis of active and passive drug delivery systems for docetaxel (DTX) in prostate cancer using supramolecular self-assembled micellar nanovectors. Specifically, we developed two novel micelles based on polydiacetylenic amphiphiles (PDA) for passive and active targeting. The active targeting micelles were designed with a prostate-specific membrane antigen (PSMA) ligand, ACUPA, to facilitate recognition by PSMA-positive cancer cells.
View Article and Find Full Text PDFMed Oral Patol Oral Cir Bucal
January 2025
15, Trauma Centre, District Hospital Neemuch Madhya Pradesh - 458441, India
Background: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is crucial for effective management and prevention of oral cancer. Recent advancements in artificial intelligence technologies indicates its potential to assist in clinical decision-making. Hence, this study was carried out with the aim to evaluate and compare the diagnostic accuracy of ChatGPT 3.
View Article and Find Full Text PDFSci Rep
January 2025
Laboratory of Chemical Biology, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, Jilin, China.
In order to address the issue of tracking errors of collision Caenorhabditis elegans, this research proposes an improved particle filter tracking method integrated with cultural algorithm. The particle filter algorithm is enhanced through the integration of the sine cosine algorithm, thereby facilitating uninterrupted tracking of the target C. elegans.
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