JP7361149B2 - デジタルホログラフィ顕微鏡検査および無傷の(untouched)末梢血白血球を用いる高精度の5部鑑別(5-part Differential) - Google Patents
デジタルホログラフィ顕微鏡検査および無傷の(untouched)末梢血白血球を用いる高精度の5部鑑別(5-part Differential) Download PDFInfo
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Description
6μm未満の被写界深度を有するデジタルホログラフィ顕微鏡デバイスと;
マイクロ流体デバイスと;
少なくとも1つの細胞の細胞タイプを判定するように構成された検出システムとを含むデバイスに関する。
関連し、図面は本発明の概念および原理を説明する役割を果たす。他の実施形態および記載される利点の多くを、図面との関連で引き出すことができる。図面の要素は必ずしも互いに縮尺通りではない。同一の、機能的に等価な、等しく作用する構成、および構成要素は、特記しない限り、図面において同一の参照数字で示される。
なる情報を判定することができる。
きる。
volumetric image data」、MICCAI、2015年、710~718頁;およびZheng他、「Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features」、IEEE Transactions on Medical Imaging、第27巻、第11号、
1668~1681頁、2008年により開発された、マージナルスペースディープラーニング(MSDL)アーキテクチャなどの最新の検出方法を使用して、白血球の5タイプ分類を行うことができる。機械学習分類方法の大部分が対の分類器を構築するが、MSDLは本来、マルチラベル分類器である。したがって、マルチラベル分類の問題について、畳込みネットワークを直接トレーニングすることができる。例えば、500の細胞、例えば各カテゴリーにつき100の細胞をトレーニングに使用することができ、残りの細胞を検査に使用することができる。
。
6μm未満の被写界深度を有するデジタルホログラフィ顕微鏡デバイスと;
マイクロ流体デバイスと;
少なくとも1つの細胞の細胞タイプを判定するように構成された検出システムとを含むデバイスに関する。
複雑な場合もある。
Claims (3)
- 媒体中の少なくとも1つの細胞の細胞タイプのマーカフリー検出のためのデバイスであって、
6μm未満の被写界深度および0.6μm未満の方位分解能を有するデジタルホログラフィ顕微鏡デバイスと;
マイクロ流体デバイスと;
少なくとも1つの細胞の細胞タイプを判定するように構成された検出システムと
を含み、
前記の少なくとも1つの細胞が血球であり、
前記デジタルホログラフィ顕微鏡デバイスは、前記マイクロ流体デバイス内の、前記の少なくとも1つの細胞の画像を、6μm未満の被写界深度および0.6μm未満の方位分解能で取得し、
デジタルホログラフィ顕微鏡デバイスの視野は、前記画像が取得される領域におけるマイクロ流体デバイスの幅の1.0倍以下であり、
前記血球量の平均して最低2/3が、前記被写界深度内にあり、
前記検出システムは、前記細胞タイプを、前記画像への画像分析によって得られた細胞の生体情報で判定する、
前記デバイス。 - マイクロ流体デバイスは、少なくとも1つの細胞の画像が取得される領域にマイクロチャネルを含み、マイクロ流体デバイスは、マイクロチャネル内に層流を生じさせる手段をさらに含む、請求項1に記載のデバイス。
- 検出システムはディープラーニングネットワークを含み、
前記ディープラーニングネットワークは、前記画像への画像分析によって得られた細胞の生体情報で、前記細胞タイプを判定し、
前記細胞は、血球であり、
前記画像は、6μm未満の被写界深度および0.6μm未満の方位分解能で取得され、
前記血球量の平均して最低2/3が、前記被写界深度内にある、
請求項1または2に記載のデバイス。
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EVA-MARIA ZETSCHE,IMAGING-IN-FLOW: DIGITAL HOLOGRAPHIC MICROSCOPY AS A NOVEL TOOL TO DETECT AND 以下備考,LIMNOLOGY AND OCEANOGRAPHY: METHODS,米国,2014年11月06日,VOL:12, NR:11,PAGE(S):757 - 775,http://dx.doi.org/10.4319/lom.2014.12.757,CLASSIFY NANOPLANKTONIC ORGANISMS |
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