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This project utilized data analysis software, ImageJ, to visually assess poets' text responses in collaboration with a molecular biologist. The methodology involved shrinking, duplicating binary masks, adjusting contrast thresholds, determining center of mass, and particle analysis. By overlaying the analysis on respondents' text, the concept of conceptual poetry was explored, aiming to extend notions of textuality through collaborative conception and live delivery. The process aimed to understand poetry as "pregnant with ideas" that think "with" others' ideas, as described by Bernstein and Lee Ann Brown.
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IMPLEMENTING IMAGE-J: CONCEPT AS PARTICLE • I composed a list of questions and sent them to more than one-hundred esteemed poets. Then in collaboration with molecular biologist, Brad Davidson, I took the respondent’s text and used data analysis software, “Image J 1.38X”, created by the National Institute of Health, to visually assess the material. This software is a multiple pixel intensity region growing algorithm for surface reconstruction. In other words, the region grows outward in 3-D space from an initial pixel known to be within the region. • In this sample text the steps taken include: shrinking, duplication of the binary mask, adjustment of contrast threshold, measurements for center of mass, and finally analysis of particles.
Image analysis of respondent text Procedure: Shrinking Duplication Thresholding Center of Mass Particle Analysis
Overlay on Respondents’ text Select particle with most mass
What is conceptual poetry? “Poetry pregnant with ideas.” -Bernstein \
“A poetry that thinks “with” other and others’ ideas. . .” -Lee Ann Brown
What is conceptual poetry? Collaborative conception + Live Delivery = Birth of the unthought Extends Notions of Textuality