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Open Access Publications from the University of California

Scholarly Works (3 results)

  • Thesis
  • Peer Reviewed
UC Santa Barbara Electronic Theses and Dissertations (2022)

Assemblage is an artistic practice where found, or unrelated objects and different materials are juxtaposed to result in new entities, which often suggest non-linear narratives, poetic meanings, and new symbols. The ideas and methods of assemblage widely emerged during the early twentieth century in the early stages of modernism and were closely connected to modern art movements such as Cubism, Surrealism, and Dada. Nowadays, images are programmable databases that are increasingly networked with the advent of operative images and machinic vision, offering new ways to conceptualize assemblages based on authorship, connectivity, data-driven forms, materials, and chance and choice operations. In the field of new media art, few interactive artificial intelligent visual works address the changing

notion of images through assembling image data as a real-time generative experience that emphasizes collective voices from artists, intelligent machines, and participants. In this context, I conduct practice-based research and propose a methodology for A Speculative Assemblage: transform the image-making process into a real-time visual experience in an artist-machine-participants collaborative manner. This dissertation proposes interdisciplinary and critical design research, which is at the intersection of experimental visualization, interactive AI art, and immersive media design. This research is demonstrated through three core interactive AI artworks (Cangjie's Poetry, LAVIN, and RAY), along with five preliminary research: image-based immersive art projects ( Fantastic Shredder, Repository, Borrowed Scenery, Astro, and Volume of Voids ). A novel design methodology and conceptual framework are presented to integrate intersections of the real and the virtual through the current methods to engage machine vision in relation to human perception and the impact of automation on originality.

    Cover page: A Speculative Assemblage: Design of Image-driven Interactive Experiences
    • Article
    • Peer Reviewed
    UC Davis Previously Published Works (2023)
    Conventional approaches for screening anticancer drugs rely on chemical reactions, which are time consuming, labor intensive, and costly. Here, we present a protocol for label-free and high-throughput assessment of drug efficacy using a vision transformer and a Conv2D. We describe the steps for cell culture, drug treatment, data collection, and preprocessing. We then detail the building of deep learning models and their use to predict drug potency. This protocol can be adapted for screening chemicals that affect the density or morphological features of cells. For complete details on the use and execution of this protocol, please refer to Wang et al.1.
      Cover page: Protocol for vision transformer-based evaluation of drug potency using images processed by an optimized Sobel operator
      • Article
      • Peer Reviewed
      UC Davis Previously Published Works (2023)
      As a measure of cytotoxic potency, half-maximal inhibitory concentration (IC50) is the concentration at which a drug exerts half of its maximal inhibitory effect against target cells. It can be determined by various methods that require applying additional reagents or lysing the cells. Here, we describe a label-free Sobel-edge-based method, which we name SIC50, for the evaluation of IC50. SIC50 classifies preprocessed phase-contrast images with a state-of-the-art vision transformer and allows for the continuous assessment of IC50 in a faster and more cost-efficient manner. We have validated this method using four drugs and 1,536-well plates and also built a web application. We anticipate that this method will assist in the high-throughput screening of chemical libraries (e.g., small-molecule drugs, small interfering RNA [siRNA], and microRNA and drug discovery).
        Cover page: SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator
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