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  1. Research Research
  2. Automated Milk Analysis Automated Milk Analysis

Automated Milk Analysis

Determining somatic cell count with unsupervised machine learning.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

09.05.2017 - 01.05.2019

Overview

Early screening of somatic cell count (SCC) in incoming raw milk samples loads, i.e. before pooling, is necessary for avoiding waste of large amounts of milk. In order to accomplish this, a simple, portable and automated milk analysis tool is required that can efficiently determine SCC in the presence of fat particles. This project aims at the elaboration of high level signal processing and auto-clustering algorithms that will allow automated discrimination and quantification of different cell populations for use with impedance flow cytometers.

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Facts

Type of project

Forschung

Internal organisations involved
  • Computer Science and Information Technology
Funding
  • KTI-HSLU als Nicht-Hauptgesuchsteller/in
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Persons involved: internal

Project manager
  • Marc Pouly
Project Co-Head
  • Daniel Pfäffli
Member of project team
  • Mirko Birbaumer
  • Marc Bravin
  • Jörg Hofstetter
  • Tobias Mérinat
  • Manuel Mumenthaler
  • Tim vor der Brück
  • Pascal Wullschleger

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

05/09/2017 - 05/01/2019

Project Head

Prof. Dr. Marc Pouly

Lecturer

+41 41 757 68 25

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Project Co-Head

Daniel Pfäffli

Highly Specialised Senior Research Associate

+41 41 757 68 28

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FH Zentralschweiz

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Lucerne University of Applied Sciences and Arts


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+41 41 228 42 42

info@hslu.ch

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