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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Biosains Pascasarjana INTEGER: Journal of Information Technology Darmabakti Cendekia: Journal of Community Service and Engagements Jurnal Layanan Masyarakat (Journal of Public Service) Indonesian Applied Physics Letters
Winarno, Winarno
Departemen Fisika Fakultas Sains Dan Teknologi Universitas Airlangga
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Physics Public Health Social Sciences Other

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Journal : Indonesian Applied Physics Letters

 1 
Design Of Autofocus Microscope With Histogram Method For Tuberculosis Bacteria Observation Mohammad Kholil; Riries Rulaningtyas; Winarno Winarno
Indonesian Applied Physics Letters Vol. 1 No. 1 (2020): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v1i1.21331

Abstract

This research was conducted to design an autofocus microscope with a histogram method that can observe Tuberculosis (TB) bacteria. The bacteria observed were preparations or phlegm preparations which had been stained with Ziehl Neelsen. The microscope is designed to be equipped with a program to control the focus motor that moves the microscope tube and the program to digitally display the image and histogram of TB bacteria. Histograms are analyzed based on intensity values spread between 0-255 and the entropy value is sought. The measurement results that have been carried out as many as 20 times the field of view of the TB bacteria show that the most focused areas have the highest entropy value with an accuracy level ranging from 81.90476% to 100% at 1000 times the magnification.
Tubule Formation Segmentation Of Histopathological Image Of Breast Cancer By Using Clustering Method Hadiyyatan Waasilah; Riries Rulaningtyas; Winarno Winarno; Anny Setijo Rahaju
Indonesian Applied Physics Letters Vol. 1 No. 1 (2020): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v1i1.21338

Abstract

Histopathological assessment is one of the examinations that allows the classification of breast cancer based on its level. Histopathological assessment factors are based on tubule formation, nuclear pleomorphism, and the mitotic count. This study only focused on tubule formation. The tubule formation was represented by a lumen surrounded a  nucleus. The segmentation of tubule histopathology of breast cancer method was using a combination of k-means clustering and graph cut. The image data used in this study were 15 images of breast cancer histopathology preparations using 5 variations in the number of clusters (k) in the k-means clustering method. The best results of tubule formation segmentation using k = 4, with an average value of balanced accuracy was 81.08% and the most optimal balanced accuracy results was 94.34%.
Co-Authors Abdul Rahman Agustin, Eva Inaiyah Ahmad Faizin Alma Ali Suryaperdana Agoes Ali Suryaperdana Agoes Alim Prasaja Anny Setijo Rahaju, Anny Setijo Arifianto, Deny Elsyea Adia Tunggadewi Firdaus, Aji Akbar Hadiyyatan Waasilah Kadek Juni Setiawati Katherine Mohammad Kholil Mohammad Zulkarnaen Myrna Adianti Novian Patria Uman Putra Nurul Fitriyah Riries Rulaningtyas Risalatul Latifah Sisca Dina Nur Nahdliyah Suhariningsih Suryani Dyah Astuti Widya Retnaning Puspita Yunardi, Riky Tri