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EMBL BioImage Data Analysis

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RT @Datascience__: Dynamic allocation of computational resources for deep learning-enabled cellular image analysis with Kubernetes https://โ€ฆ
About 1 day ago by: Kota Miura (@cmci_)

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RT @mariana_deniz: Many thanks to the @NEUBIAS_COST instructors and organizers for an exciting and stimulating course on image analysis ๐Ÿ˜๐Ÿ˜โ€ฆ
About 1 day, 4 hours ago by: Kota Miura (@cmci_)

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RT @johntigue: 2016 tutorial: Tracing Neurons using FIJI (ImageJ) https://t.co/v4XCeZYjv1 https://t.co/khyN76ct7N
About 3 days, 4 hours ago by: Kota Miura (@cmci_)

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RT @JenCWaters: Our image analysis core has a paid short-term (10 months) machine learning research opportunity available! https://t.co/2ZZ โ€ฆ
About 3 days, 17 hours ago by: Kota Miura (@cmci_)

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@ahklemm @NEUBIAS_COST ๐Ÿถ
About 3 days, 17 hours ago by: Kota Miura (@cmci_)

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RT @laure_plantard: Taggers at work #Neubias https://t.co/vnxjfiaVse
About 3 days, 19 hours ago by: Kota Miura (@cmci_)
shared:bias2013:assignments

Assignments

module 1 and 2

1. Quantum dot counting (planned, but omitted)

sample image: quantumdots.tif

design a protocol for segmenting quantum dot and write a macro that counts the number of quantum dots in the image.

2. Modify dot movement macro as you like.

(Brownian, Cycloid, Sinusoidal โ€ฆ)

Save your macro in the data server. Please do not forget to include your names in the macro file name.

Answers

module 4

Relative Movement

Go to section 4.4.7 and do the exercise 4.4.7-1.

PIV based anaysis (omitted)

Try install and using the following plugin: https://sites.google.com/site/qingzongtseng/piv

Get a vector field data (you need only two frames for this), save the results as a csv file and then analyze the directioanlity in R.

shared/bias2013/assignments.txt ยท Last modified: 2017/06/06 20:12 by kota