Figure 4—figure supplement 1.

(I) Fully extended airineme micrograph image. Arrow indicates the airineme. (II) Extraction of the average noise level from image. (III) Images of simulated airinemes are convoluted to have the same statistical noise properties of the experimental image. We use a ‘ground truth’ Dθ∼0.1525⁢min-1. (IV) In order to characterize technical variation in our analysis pipeline, five people used a manual image analysis pipeline to locate points along airinemes. From these points, curvatures and autocorrelation functions were computed, and Dθ likelihoods extracted. Curvature of simulated airineme images and likelihood distributions are shown as colored curves. Black curve shows the likelihood distribution for combined data. (V) The maximum likelihood Dθ value was close to the simulation input Dθ, with typically 2% error. The most erroneous (yellow curve) was 7% and corresponds to the manual entry of the corresponding author, JA. (Top right) Likelihoods of Dθ estimates from experimental images from five people (colored curves) and combined (black curve).