Supervised method for cell counting from bright field focus stacks
Tutkimustuotos › › vertaisarvioitu
Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) |
| Kustantaja | IEEE |
| Sivut | 391-394 |
| Sivumäärä | 4 |
| ISBN (painettu) | 9781479923502 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 15 kesäkuuta 2016 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING - Kesto: 1 tammikuuta 1900 → … |
Julkaisusarja
| Nimi | |
|---|---|
| ISSN (painettu) | 1945-7928 |
Conference
| Conference | IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING |
|---|---|
| Ajanjakso | 1/01/00 → … |
Tiivistelmä
We present a novel method for cell counting using bright field focus stacks. Our method is based on the use of supervised learning and out-of-focus appearance of cells. Logistic regression was used for classification with intensity values of 25 focal planes as features. Binary erosion with a large circular structuring element was applied as post-processing step. With this simple method we obtained mean F\-score of 0.87 for cell counting with 12 test images, including images of extremely dense populations. The most important features were obtained from out-of-focus images. Thus, we conclude that using several focal planes provides valuable intensity information for cell counting from bright field microscopy.