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sid: '9321'
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uri: /urop-research-mentor-project-submission-portal
created: '1693013969'
completed: '1693016597'
changed: '1697065892'
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remote_addr: 128.186.63.52
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langcode: en
webform_id: urop_project_proposal_portal
entity_type: node
entity_id: '1116'
locked: '0'
sticky: '0'
notes: ''
data:
  approximately_how_many_hours_a_week_would_the_research_assistant: '8'
  are_you_currently_looking_for_students_: 'No'
  confirmation_1: '1'
  contact_email_fsu_email: ''
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: csolis@fsu.edu
  fsu_college: Education
  fsu_department_if_applicable_: 'Health, Food and Nutrition (aka Nutrition and Integrative Physiology) '
  headshot_optional_: '27266'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: ''
  mentoring_philosophy: 'My mentoring philosophy is simple: you can reach the stars if you are in a supportive environment. My goal as a mentor is to provide the right conditions for my mentees to thrive. Examples of how I achieve this are by first and foremost, being available for my mentees to ask questions and get help at the earliest possible. Second, I provide the motivation and the key information for trainees to understand what is the main problem and why it must be solved. Third, I provide my trainees with the career advice they need to that from day one they can start getting feedback of where they can go with their careers. I am cognizant that motivation is an important driver of success because without the right catalyst the smallest challenge ahead will become daunting. '
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: ''
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '3'
  other_faculty_collaborator_s_preferred_pronouns: ''
  overall_research_project_description: 'At its innermost level, the heart is composed of miniature machines that enable heart contraction. The essential elements of this machinery include the proteins actin and myosin. When the heart muscle contracts, myosin works as the motor, implying ATP as fuel to crawl on actin, which serves as the scaffold where myosin crawls. This motion leads to the pulling of organized structures in cardiac muscle cells called sarcomeres that specialized on creating shortening in muscle cells. In the laboratory, we can purify actin and myosin and study their interactions via the in vitro motility assay. If you Google "in vitro motility assay GIF" you will see colored stripes that move around erratically. These colored stripes are the actin filaments that are being pulled around by "invisible" myosin proteins. By recording videos, we can then measure the gliding speed of these filaments to quantify the speed of reaction of myosin when pulls actin around. This readout allows us to quantify if a particular drug affects myosin and hence determine the specificity of the drug. We can also modify the actin and myosin proteins and see if this modification affects their function. It turns out that the video software to analyze these proteins is not too efficient. As such, it would be very desirable to build a new software that takes advantages of AI to use strategies such as semantic segmentation to identify the gliding filaments and estimate their motion properties. We already have the videos collected. The next step is to develop the software that will aide in analyzing these videos.'
  please_add_any_additional_information_here: ''
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: 'https://scholar.google.com/citations?user=vAoAMrwAAAAJ&hl=en&oi=ao'
  please_select_the_choice_that_most_accurately_describes_your_exp: 'Partially Remote'
  please_select_the_location_of_your_project_: 'On FSU Main Campus'
  position_availability_for_student_research: 'Flexible schedule'
  position_title: Faculty
  primary_research_mentor_name: 'Christopher Solis'
  project_keywords: 'cardiac, thin filament, in vitro motility assay, biochemistry, biophysics, AI, computer vision, semantic segmentation'
  relevant_student_major_s_: 'Biology/biological sciences, computer and information sciences, Exercise physiology, Information technology, Health services/allied health/health sciences, Mechanical engineering, Entrepreneurship/entrepreneurial studies, Mathematics, Statistics, Chemical engineering, Neuroscience, Biochemistry, Electrical and electronics engineering, Computer engineering, Clinical nutrition/nutritionist, Chemistry, Physics, Bioengineering and biomedical engineering, Computational science, Computational biology. '
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: His/him
  research_mentor_supervisor_if_different_from_above_: ''
  research_tasks_for_student_research_assistant_s_: |-
    The research tasks for this project include the following 
    1) Select the appropriate compiles (MATLAB, PyLab/Python, CellProfiler) to build the algorithm.
    2) "Label videos" implying techniques such as semantic segmentation to train algorithm
    3) Train algorithm to identify objects 
    3) Estimate the efficiency of the algorithm
  roundtable_times_and_zoom_links: |-
    Wed, Sept. 6: any 30-min block between 1:00 pm and 8:00 pm.
    Fri, Sept. 8: any 30-min block between 10:00 am and 12:30 pm.
    https://fsu.zoom.us/j/6263906254
  skills_that_research_assistants_may_need_: 'Experience in coding (e.g MATLAB, Python, R, JavaScript). Some experience in biochemistry is nice to have but not required. '
  title_of_the_project: 'Developing an AI-based particle-tracking algorithm for video-based monitoring of cardiac thin filament motion '
  update_url: 'https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=_Ck6vvVY-YTgC-zRibhaBI5dOXePMxTdeOjhpYuQ-Pw'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: ''
  when_potential_research_assistants_are_reaching_out_via_email_wh: ''
  when_students_are_reaching_out_via_email_what_is_your_preferreda: 'Dr. '
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: ''
  year: '2023'