Supporting Scientific Research Through Machine and Deep Learning: Fluorescence Microscopy and Operational Intelligence Use Cases

Although the debate of what data science is has a long history and has not reached a complete consensus yet, Data Science can be summarized as the process of learning from data. Guided by the above vision, this thesis presents two independent data science projects developed in the scope of multidisciplinary applied research. The first part analyzes fluorescence microscopy images typically produced in life science experiments, where the objective is to count how many marked neuronal cells are present in each image. Aiming to automate the task for supporting research in the area, we propose a neural network architecture tuned specifically for this use case, cell ResUnet (c-ResUnet), and discuss the impact of alternative training strategies in overcoming particular challenges of our data. The approach provides good results in terms of both detection and counting, showing performance comparable to the interpretation of human operators. As a meaningful addition, we release the pre-trained model and the Fluorescent Neuronal Cells dataset collecting pixel-level annotations of where neuronal cells are located. In this way, we hope to help future research in the area and foster innovative methodologies for tackling similar problems. The second part deals with the problem of distributed data management in the context of LHC experiments, with a focus on supporting ATLAS operations concerning data transfer failures. In particular, we analyze error messages produced by failed transfers and propose a Machine Learning pipeline that leverages the word2vec language model and K-means clustering. This provides groups of similar errors that are presented to human operators as suggestions of potential issues to investigate. The approach is demonstrated on one full day of data, showing promising ability in understanding the message content and providing meaningful groupings, in line with previously reported incidents by human operators.

Role of organic acids and phytonutrients as natural alternatives to antibiotics in supporting intestinal functionality

The gastrointestinal tract (GIT) represents the major portion of the body that interfaces with the external environment, with the double function of food processing and line of defense of the body. Numerous components support and regulate the barrier function of the GIT, such as tight junctions (TJs), cytokines, commensal and pathogenic microorganisms, and other systems of the organism, as the endocannabinoid system (ECS). The ECS can control several gastrointestinal functions, as well as the regulation of intestinal inflammation. Failure of the intestinal barrier function triggers an increase of the concentration of pro-inflammatory cytokines and leads to a reduction in intestinal functionality. This thesis aimed to explore the potential of natural compounds as a new alternative approach to antibiotics not only as antimicrobial, but also supporting intestinal maturation and integrity, and as immune-boosting agents. Different experiments were performed to evaluate the potential of nature-identical compounds (NICs), organic acids (OAs), and essential oils (EOs) to support and fight various stressful stimuli. In vitro, a well characterized blend of NICs and OAs were able to improve TJs and transepithelial electrical resistance (TEER) in an intestinal cell line, exerting an anti-inflammatory potential. EOs enhanced TEER and TJs mRNA levels, with a reduction of paracellular permeability, showing antioxidant and antimicrobial properties. In vivo, thymol modulates the gene expression of ECS and gut chemosensing in the GIT of piglets, where the precise localization of the cannabinoid receptors was immunohistochemically confirmed, suggesting an anti-inflammatory potential. In conclusion, natural alternative molecules represent an effective alternative to support or replace the classical pharmacological prophylaxis. These alternative molecules act not only as antimicrobial agents, but also exerted a crucial role in supporting the intestinal barrier function, preventing oxidative stress, and reducing inflammation. Moreover, thymol seems able to modulate the ECS, representing a novel frontier to support animal health and productivity.