ABOUT US
OPTOFİL Optical and Electronic Design Inc.
At Optofil our goal is developing compact and tabletop digital optical imagers, and analysis devices. We are currently focused on automated cell counters, fluorescence microscopes and microplate readers. Beyond our end-user products, we offer specialized engineering and software services across optics, electro-optics, photonics, and artificial intelligence for the defense and healthcare sectors.
2017
Optofil
Optofil Optical and Electronic Design Inc. Established
Optofil was established in 2017 to develop compact, low-cost, digital optical imaging and analysis devices in small sizes that can fit on the desktop.
2017
2017-2018
Desktop Confocal Microscope Project
(TEYDEB 1512)
2019
2019-2020
Low Cost, Desktop, LED Based, Digital Fluorescence Microscope Project
(KOSGEB)
2020
2020-2024
Ansys Zemax Distributorship Agreement
We served as a local distributor and technical support provider for optical design suite, Ansys Zemax.
2020
First Product
QuantaCell-Automated Cell Counter
Our first unique product QuantaCell entered the market.
2020
2020-2021
Structured Illumination Microscope Project
(TEYDEB 1507)
2021
2021-2022
Absorbance Type Microplate Reader Project
(TEYDEB 1507)
2022
2022-2024
Deep Learning Based Automated Cell Counter Project
(TEYDEB 1501)
2024
2024-2026
Automated Digital Morphology Analyzer for Hematology
(TEYDEB 1501)
2025
2025-2029
NEHİR Project
Executive Team
Publications
- A Large-Scale Peripheral Blood Cell Dataset for Automated Hematological Analysis
Atıf Eren Yarıkan, Can Örer, Volkan Akyıldız, Zeki Kuş, Musa Aydin, Kerim Erhan Palaoğlu, Said İnciṙ, Kemal Baysal, Cemal Özçelik, Berna Kiraz, and Alper Kiraz
Scientific Data 13, 417 (2026)
DOI: 10.1038/s41597-026-06761-y
- DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
Furkan Eren, Mete Aslan, Dilek Kanarya, Yigit Uysalli, Musa Aydin, Berna Kiraz, Omer Aydin, and Alper Kiraz
IEEE J. Biomed. Health. Inform. 26 (11), 5575-5583 (2022)
DOI: 10.1109/JBHI.2022.3203893
- Few-Shot Learning for Segmentation of Yeast Cell Microscopy Images
Muhammet Alkan, Berna Kiraz, Furkan Eren, Yiğit Uysalli, and Alper Kiraz
29th IEEE Conference on Signal Processing and Communications Applications (SIU) (2021)
DOI: 10.1109/SIU53274.2021.9477988