JP5439795B2 - Foreign object estimation system - Google Patents

Foreign object estimation system Download PDF

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JP5439795B2
JP5439795B2 JP2008289735A JP2008289735A JP5439795B2 JP 5439795 B2 JP5439795 B2 JP 5439795B2 JP 2008289735 A JP2008289735 A JP 2008289735A JP 2008289735 A JP2008289735 A JP 2008289735A JP 5439795 B2 JP5439795 B2 JP 5439795B2
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真司 園田
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Toppan Inc
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本発明は、基板に配設された表示装置用のカラーフィルタを形成するための未露光の着色層に対して、プロキシミティ露光によって転写用マスクの絵柄を転写露光する前に、基板に付着している異物の検出を行い、異物を推定する方法に関する。In the present invention, an unexposed colored layer for forming a color filter for a display device disposed on a substrate is attached to the substrate before the transfer mask pattern is transferred and exposed by proximity exposure. The present invention relates to a method for detecting a foreign object and estimating the foreign object.

図1はカラー液晶表示装置に用いられるカラーフィルタ基板の一例を断面で示したもので、カラーフィルタ基板1は、ガラス基板2上にブラックマトリックス(以下BM)3、着色画素(レッドR、グリーンG、ブルーB)(以下RGB)4、透明電極5、フォトスペーサー(Photo Spacer)/バーテイカルアライメント(Vertical Alignment)(以下PS/VA)6が順次形成されたものである。    FIG. 1 is a cross-sectional view showing an example of a color filter substrate used in a color liquid crystal display device. The color filter substrate 1 has a black matrix (hereinafter referred to as BM) 3 and colored pixels (red R, green G) on a glass substrate 2. , Blue B) (hereinafter referred to as RGB) 4, transparent electrode 5, photo spacer / vertical alignment (hereinafter referred to as PS / VA) 6 are sequentially formed.

カラー液晶表示装置の多くに用いられている上記構造のカラーフィルタ基板の製造方法は、フォトリソグラフィー法、印刷法、インクジェット法が知られているが、フォトリソグラフィー法が一般的に使われている。図2はフォトリソグラフィー法の工程を示す概略ブロック図である。カラーフィルタ基板は、先ずガラス基板上にBMを形成する工程、ガラス基板を洗浄する工程、着色フォトレジストを塗布及び予備乾燥する工程、着色フォトレジストを乾燥及び硬化するプリベーク工程、プロキシミティ露光する工程、現像する工程、着色フォトレジストを硬化させる工程、透明電極成膜工程、PS/VAを形成する工程がこの順に行なわれ製造される。ガラス基板を洗浄する工程から、着色フォトレジストを硬化する工程間ではレッドR、グリーンG、ブルーBの3色に対して着色レジストを変更して3回繰り返される。  As a method for producing a color filter substrate having the above-described structure used in many color liquid crystal display devices, a photolithography method, a printing method, and an ink jet method are known, and the photolithography method is generally used. FIG. 2 is a schematic block diagram showing the steps of the photolithography method. The color filter substrate is a step of first forming a BM on a glass substrate, a step of cleaning the glass substrate, a step of applying and pre-drying a colored photoresist, a pre-baking step of drying and curing the colored photoresist, and a step of proximity exposure. The step of developing, the step of curing the colored photoresist, the step of forming the transparent electrode, and the step of forming PS / VA are performed in this order. Between the step of cleaning the glass substrate and the step of curing the colored photoresist, the coloring resist is changed for the three colors of red R, green G, and blue B, and the process is repeated three times.

以上のように、カラーフィルタ基板の製造工程には多くの工程があり、その途中でゴミや樹脂カス、異物の付着・混入、ピンホール、パターン欠け等による欠陥が生じている。  As described above, there are many steps in the manufacturing process of the color filter substrate, and defects such as dust, resin residue, adhesion / mixing of foreign matters, pinholes, chipped patterns, etc. are generated in the middle of the process.

前記異物の付着は、カラーフィルタ基板への付着と転写用マスクへの付着があるが、カラーフィルタ基板へ付着した場合は、カラーフィルタ基板そのものが不良品となるだけではなく、カラーフィルタ基板に付着した異物が、プロキシミティ露光によって転写用マスクの絵柄を転写露光する際に前記転写用マスクに転移して、転写用マスクに付着してしまう。該転写用マスクで露光されたカラーフィルタ基板は、いわゆる連続して発生する同一欠陥のある不良品となってしまう。  The foreign matter may be attached to the color filter substrate and the transfer mask, but when attached to the color filter substrate, not only the color filter substrate itself becomes a defective product but also the color filter substrate. The foreign matter is transferred to the transfer mask and adhered to the transfer mask when the pattern of the transfer mask is transferred and exposed by proximity exposure. The color filter substrate exposed by the transfer mask becomes a defective product having the same defect that occurs continuously.

また、前記プロキシミティ露光時のカラーフィルタ基板と転写用マスクの間の露光ギャップは、ほぼ接触状態に近い隙間をもって露光されるので、前記異物が露光ギャップ以上の大きさの金属異物である場合は、前記異物は露光機内で転写用マスクとカラーフィルタ基板の間に挟まれて、転写用マスクを破損してしまう原因となってしまう。  In addition, since the exposure gap between the color filter substrate and the transfer mask at the time of the proximity exposure is exposed with a gap close to a contact state, when the foreign matter is a metallic foreign matter having a size larger than the exposure gap. The foreign matter is sandwiched between the transfer mask and the color filter substrate in the exposure machine, causing damage to the transfer mask.

前記転写用マスクは高価なため1回の事故によるロス金額は大きなものとなっている。  Since the transfer mask is expensive, the loss due to a single accident is large.

上記問題を解決するために、カラーフィルタ基板製造工程において、露光工程前に検出装置にて異物検出を行い、転写用マスクへの異物付着による同一欠陥発生の防止、露光機内で転写用マスクと基板上の異物の接触による転写用マスク破損を予防する方法がとられている。  In order to solve the above-mentioned problem, in the color filter substrate manufacturing process, foreign matter is detected by a detection device before the exposure step to prevent occurrence of the same defect due to foreign matter adhering to the transfer mask, and the transfer mask and the substrate in the exposure machine. A method for preventing the transfer mask from being damaged by the contact of the foreign matter on the top is taken.

しかしながら異物については異物であることと、その大きさまでは判定できるが、異物の高さや、異物が金属異物である場合は金属名を、また有機物か無機物の場合にはその成分名は何かを推定することは検出結果からは判断できていないため、例えば露光前に異物検出を行い、前記異物付着が認められた場合には、そのワークについては露光をしないで次の工程に搬送するか、あるいは、転写用マスクを介さないで全面露光して、次の現像工程で全面のレジストを除去してしまうといった方法がとられている(特許文献1)
しかしながら、上記方法では付着異物が検出される度にワークを露光しないで次の工程に搬送するか、あるいは転写用マスクを介さないで全面露光して、次の現像工程で全面のレジストを除去するために、製造効率を低下させるという欠点がある。
However, it is possible to judge the size of a foreign substance as being a foreign substance, but the height of the foreign substance, the metal name if the foreign substance is a metal foreign substance, and the component name if it is an organic or inorganic substance. Since the estimation cannot be determined from the detection result, for example, foreign matter detection is performed before exposure, and when the foreign matter adhesion is recognized, the workpiece is transported to the next step without being exposed, Alternatively, a method is adopted in which the entire surface is exposed without using a transfer mask, and the resist on the entire surface is removed in the next development step (Patent Document 1) .
However, in the above method, every time an adhering foreign matter is detected, the workpiece is conveyed to the next step without being exposed, or the entire surface is exposed without using a transfer mask, and the entire resist is removed in the next developing step. For this reason, there is a drawback that the production efficiency is lowered.

以下に先行技術文献を示す。
特開平11−191524号公報
Prior art documents are shown below.
JP-A-11-191524

そこで本発明は上記問題を解決するために、露光工程前に異物検出を行い、基板に付着している異物を推定するシステムを提供することを課題とする。SUMMARY OF THE INVENTION In order to solve the above problems, an object of the present invention is to provide a system for detecting foreign matter before an exposure process and estimating foreign matter attached to a substrate.

本発明の請求項1に係る発明は、基板上に付着する異物を推定するシステムであって、異物の検出位置(X,Y)大きさ検出して検出結果を出力する異物検出装置
過去に検出した異物を分析装置で分析した結果による異物名と前記異物の検出位置(X, Y)と検出サイズの情報を検出結果情報として蓄積する異物分析情報管理データベース を備え、
前記基板を露光する前に前記異物検出装置によって得た前記検出結果と前記異物分析情報 管理データベースと照合により推定異物情報を取得することを特徴とする異物推定システムである。
The invention according to claim 1 of the present invention is a system for estimating foreign matter adhering to a substrate, and a foreign matter detection device that detects the detection position (X, Y) and size of the foreign matter and outputs a detection result ; ,
A foreign substance analysis information management database that accumulates information on the foreign substance name , the foreign substance detection position (X, Y), and the detection size as a result of analysis of foreign substances detected in the past as detection result information ;
A foreign substance estimation system, characterized in Rukoto Tokusu preparative estimated foreign substance information by collation with the detection result and the foreign substance analysis information management database obtained by the foreign substance detecting device prior to exposing the substrate.

本発明の請求項2に係る発明は、前記推定異物情報とライン停止条件とを比較して、ライン停止条件を満たした場合には警告情報を出力することを特徴とする請求項1記載の異物推定システムである。The invention according to claim 2 of the present invention, before Ki推 compares the constant foreign substance information and the line stop condition, according to claim 1, wherein in the case of satisfying the line stop condition and outputting the warning information This is a foreign matter estimation system.

本発明の請求項3に係る発明は,前記ライン停止条件は異物の種類毎に設定され、前記異物発生情報集計データベースに予め登録されていることを特徴とする請求項1または2記載の異物推定システムである。The invention according to claim 3 of the present invention, the line stop condition is set for each type of foreign matter, the foreign matter estimated according to claim 1 or 2, wherein the previously registered on the foreign substance generation information summary database System.

本発明の異物推定システムによれば、転写用マスクの破損の原因となる異物が付着している基板を露光機へ投入することを防止できるため、転写用マスクの破損が回避され、更に異物による共通欠陥の発生を防げる。According to the foreign matter estimation system of the present invention, it is possible to prevent the transfer mask from being damaged by introducing a substrate on which a foreign matter causing damage to the transfer mask is attached to the exposure apparatus. The occurrence of common defects can be prevented.

以下、図面を参照してこの発明に係わる異物推定システムの最良の形態を説明する。Hereinafter, the best mode of a foreign matter estimation system according to the present invention will be described with reference to the drawings.

図3は本発明の実施形態に係わる異物推定システムを用いてカラーフィルタ基板に付着している異物を推定する場合に用いられる概略構成装置と推定システムのフローを示す。カラーフィルタ用基板10はレジスト塗布機11でレジストが塗布され、レジストが塗布された基板18は露光前異物検出装置12で検査され、露光前異物検査された基板19は露光機13で露光される。露光された基板20は次の工程に搬送される。露光前異物検出装置12は異物発生状況集計データベース(以下、異物発生状況集計DB)14、異物同定システム実行用パソコン15と例えばEthernet(登録商標)等で相互に通信できるように接続されている。異物推定システム実行用パソコン15は異物発生状況集計DB14及び異物分析情報管理データベース(以下、異物分析情報管理DB)16と例えばEthernet(登録商標)等で相互に通信できるように接続されている。更に、異物分析情報管理DB16は分析装置17と例えばEthernet(登録商標)等で相互に通信できるように接続されている。FIG. 3 shows a flow of a schematic configuration device and an estimation system used when estimating the foreign matter adhering to the color filter substrate using the foreign matter estimation system according to the embodiment of the present invention. The color filter substrate 10 is coated with a resist by a resist coating machine 11, the substrate 18 coated with the resist is inspected by a pre-exposure foreign substance detection device 12, and the substrate 19 subjected to the pre-exposure foreign substance inspection is exposed by an exposure machine 13. . The exposed substrate 20 is transferred to the next step. The pre-exposure foreign matter detection device 12 is connected to a foreign matter occurrence status summary database (hereinafter referred to as a foreign matter occurrence status summary DB) 14 and a foreign matter identification system execution personal computer 15 so as to be able to communicate with each other via, for example, Ethernet (registered trademark). The foreign matter estimation system execution personal computer 15 is connected to the foreign matter occurrence status summary DB 14 and the foreign matter analysis information management database (hereinafter, foreign matter analysis information management DB) 16 so as to be able to communicate with each other via, for example, Ethernet (registered trademark). Further, the foreign substance analysis information management DB 16 is connected to the analyzer 17 so as to be able to communicate with each other by, for example, Ethernet (registered trademark).

異物検出は露光前に行われるが、使われる露光前異物検出装置12について詳細に説明する。図4(a)は露光前異物検出装置12の概略図を示す。カラーフィルタ基板18(図3のレジスト塗布された後の基板18)は搬送装置23によって搬送されながら、正反射照明光源21により照明され、CCDラインセンサカメラ22によって撮像され、撮像画像は画像処理装置24で処理される。露光前異物検出装置12は、図示していないが透過用照明光源、反射照明光源とそれに対応したラインセンサカメラをも有しており、ラインセンサカメラで撮像した撮像画像を処理することによって異物の検出を行う。検出した異物の検出位置と大きさ及び濃度が求められる。検出位置は図4(b)に示すようにカラーフィルタ基板18の或る場所を基点26として検出座標(X,Y)で表わされる。大きさは異物を撮像したラインセンサカメラの受光素子の画素数と1画素あたりの異物の大きさから求められ、濃度は異物を撮像したラインセンサカメラから得られたアナログ値を例えば256段階のデジタル値に変換して求められる。露光前異物検出装置12の全体の制御は制御パソコン25によって制御される。Foreign matter detection is performed before exposure, and the pre-exposure foreign matter detection device 12 used will be described in detail. FIG. 4A is a schematic diagram of the pre-exposure foreign matter detection device 12. The color filter substrate 18 (the substrate 18 after being coated with the resist in FIG. 3) is illuminated by the specular reflection illumination light source 21 while being conveyed by the conveying device 23, and is captured by the CCD line sensor camera 22, and the captured image is an image processing device. 24. Although not shown, the pre-exposure foreign matter detection device 12 also includes a transmission illumination light source, a reflection illumination light source, and a corresponding line sensor camera. By processing a captured image captured by the line sensor camera, foreign matter detection is performed. Perform detection. The detected position, size and concentration of the detected foreign matter are obtained. The detection position is represented by detection coordinates (X, Y) with a certain point on the color filter substrate 18 as a base point 26 as shown in FIG. The size is obtained from the number of pixels of the light receiving element of the line sensor camera that captured the foreign matter and the size of the foreign matter per pixel, and the density is an analog value obtained from the line sensor camera that captured the foreign matter, for example, 256 levels of digital Obtained by converting to a value. The entire control of the pre-exposure foreign matter detection device 12 is controlled by the control personal computer 25.

異物を推定するフローを図3を用いて説明する。A flow for estimating a foreign object will be described with reference to FIG.

異物発生状況集計DB14には過去の異物検出結果情報が蓄積されており、異物分析情報管理DB16には過去の分析結果情報が次の手順で蓄積されている。  Past foreign matter detection result information is accumulated in the foreign matter occurrence status totalization DB 14, and past analysis result information is accumulated in the following procedure in the foreign matter analysis information management DB 16.

図3の露光前異物検出装置12または図示していない他の異物検出装置で検出された異物は基板から剥がされて、オフラインの分析装置17で分析され、分析結果による異物名と異物の発生状況は後で説明する手順で集計され異物分析情報管理16に蓄積される(S1)。露光前異物検出装置12で得られた検出結果情報は、後で説明する手順で集計され、集計された検出結果集計情報は異物発生状況集計DB14に蓄積される(S2)。  The foreign matter detected by the pre-exposure foreign matter detection device 12 in FIG. 3 or another foreign matter detection device (not shown) is peeled off from the substrate and analyzed by the off-line analysis device 17, and the foreign matter name and foreign matter generation status based on the analysis result. Are accumulated in the procedure described later and accumulated in the foreign substance analysis information management 16 (S1). The detection result information obtained by the pre-exposure foreign substance detection device 12 is aggregated in a procedure described later, and the aggregated detection result aggregate information is accumulated in the foreign substance occurrence status aggregation DB 14 (S2).

露光前異物検出装置12によって検出結果は、最新の検出結果情報として異物発生状況集計DB14に蓄積され、異物推定システム実行用パソコン15は前記最新の検出結果情報を取得する(S3)。取得した最新の検出結果情報を前記異物発生状況集計DBに蓄積されている検出結果集計情報と照合し、照合した結果を基に前記異物分析情報管理DBより推定異物情報を取得する(S4)。更に取得した推定異物情報と後で説明するライン停止条件と比較して、ライン停止条件を満たしている場合は、異物推定システム実行用パソコン15のモニター上、及び検出装置に判定結果と判定理由を表示し、警告情報を出力してオペレータへ通知し(S5)、オペレータの判断により露光機置へ停止命令を出力し装置を停止させか、露光前で基板をラインアウト、もしくはマスクを介さず露光した後に現像装置でレジストを剥離し、基板は再利用される。The detection result by the pre-exposure foreign matter detection device 12 is accumulated in the foreign matter occurrence status summary DB 14 as the latest detection result information, and the foreign matter estimation system execution personal computer 15 acquires the latest detection result information (S3). The acquired latest detection result information is collated with the detection result aggregation information stored in the foreign substance occurrence status aggregation DB, and estimated foreign substance information is acquired from the foreign substance analysis information management DB based on the collation result (S4). Further, when the line stop condition is satisfied by comparing the acquired estimated foreign substance information with the line stop condition described later, the determination result and the determination reason are displayed on the monitor of the PC 15 for executing the foreign substance estimation system and the detection device. Display and output warning information to notify the operator (S5), output a stop command to the exposure apparatus according to the operator's judgment and stop the apparatus, or expose the substrate before line exposure or through a mask After that, the resist is removed by a developing device, and the substrate is reused.

異物分析情報管理DB16内での分析結果情報を集計する手順について詳細に説明する。  A procedure for collecting analysis result information in the foreign matter analysis information management DB 16 will be described in detail.

異物分析情報管理DB16内の構成を図5で説明する。異物分析情報管理DB16内には、分析結果登録テーブル31、座標毎異物情報テーブル32、エリア毎異物情報テーブル33の3つのテーブルがある。  The configuration in the foreign matter analysis information management DB 16 will be described with reference to FIG. In the foreign matter analysis information management DB 16, there are three tables: an analysis result registration table 31, a foreign matter information table 32 for each coordinate, and a foreign matter information table 33 for each area.

異物分析情報管理DB16内の各テーブルの項目と説明を図6に示す。図6(a)の分析結果登録テーブルには、対象装置、異物検出座標(XとY)、異物検出モード(検出モードとは正反射照明検出系か透過照明検出系か反射照明検出系かの区別)、異物検出サイズ、分析結果の異物名、分析結果の登録日時が含まれる。図6(b)の座標毎異物情報テーブルには、対象装置、座標(XとY)条件、異物検出モード、異物検出サイズ、分析結果の異物名、指定期間内での分析結果数が含まれる。図6(c)のエリア毎異物情報テーブルには、対象装置、エリア条件、異物検出モード、異物検出サイズ、分析結果の異物名、指定期間内での分析結果数が含まれる。  FIG. 6 shows items and descriptions of each table in the foreign substance analysis information management DB 16. The analysis result registration table in FIG. 6A includes the target device, foreign object detection coordinates (X and Y), and foreign object detection mode (whether the detection mode is a regular reflection illumination detection system, a transmission illumination detection system, or a reflection illumination detection system). Distinction), foreign object detection size, foreign name of the analysis result, and date and time of registration of the analysis result. The foreign matter information table for each coordinate in FIG. 6B includes the target device, coordinate (X and Y) conditions, foreign matter detection mode, foreign matter detection size, foreign matter name of the analysis result, and the number of analysis results within the specified period. . The foreign matter information table for each area in FIG. 6C includes the target device, the area condition, the foreign matter detection mode, the foreign matter detection size, the foreign matter name of the analysis result, and the number of analysis results within the specified period.

異物分析情報管理DB内のデータフローを図5を用いて説明する。先ず、図3の露光前異物検出装置12または図示していない他の異物検出装置で検出された異物は基板から剥がされて、オフラインの分析装置17で分析される。前記分析された分析結果情報30を分析結果登録テーブル31に登録する(B1)。次に、分析結果登録テーブル31が更新された後、分析結果情報を検出装置、検出座標X、検出座標Y、検出系、検出サイズの複数の条件(X座標条件&Y座標条件&検出系条件&検出サイズ条件)で一致した座標毎異物情報テーブル32を更新する(B2)。  A data flow in the foreign matter analysis information management DB will be described with reference to FIG. First, the foreign matter detected by the pre-exposure foreign matter detection device 12 in FIG. 3 or another foreign matter detection device (not shown) is peeled off from the substrate and analyzed by the off-line analysis device 17. The analyzed analysis result information 30 is registered in the analysis result registration table 31 (B1). Next, after the analysis result registration table 31 is updated, the analysis result information is converted into a plurality of conditions of the detection device, detection coordinate X, detection coordinate Y, detection system, and detection size (X coordinate condition & Y coordinate condition & detection system condition & The coordinate-specific foreign matter information table 32 that matches the detected size condition) is updated (B2).

前記複数の条件例としては
(1)X座標固定&Y座標は一定範囲内&検出系一致&検出サイズ一致
(2)X座標は一定範囲内&Y座標固定&検出系一致&検出サイズ一致
(3)X座標固定&Y座標固定&検出系一致&検出サイズ一致
(4)X座標は一定範囲内&Y座標は一定範囲内&検出系一致&検出サイズ一致
等で、あらかじめ設定した条件すべてに対して集計をすることで、各条件毎に発生確率の高い異物の統計解析を行う。
Examples of the plurality of conditions are (1) X coordinate fixed & Y coordinate within a certain range & detection system coincidence & detection size coincidence (2) X coordinate within a certain range & Y coordinate fixed & detection system coincidence & detection size coincidence (3) X coordinate fixed & Y coordinate fixed & detection system coincidence & detection size coincidence (4) X coordinate is within a certain range & Y coordinate is within a certain range & detection system coincidence & detection size coincidence, etc. Totals for all preset conditions By doing so, statistical analysis of foreign matters having a high probability of occurrence is performed for each condition.

前記座標毎異物情報テーブルは、どのような検出装置で、どのような座標に、どのように検出された、どのようなサイズの異物が多く発生しているのか、またその異物名は何かを示している。  The foreign matter information table for each coordinate indicates what kind of foreign matter has been generated, what kind of foreign matter has been detected in what kind of detection device, and what kind of foreign matter name. Show.

次に、同様に分析結果登録テーブル31が更新された後、分析結果情報を検出装置、検出エリア、検出系、検出サイズを複数の条件(各項目の条件の組合せ)毎に集計し、エリア毎異物情報テーブル33を更新する(B3)。  Next, after the analysis result registration table 31 is similarly updated, the analysis result information is aggregated for each of a plurality of conditions (combinations of conditions of each item) for the detection device, detection area, detection system, and detection size. The foreign object information table 33 is updated (B3).

前記複数の条件例としては、
(1)検出エリア固定&検出系一致&検出サイズ一致
(2)検出エリアが指定エリア(複数可)&検出系一致&検出サイズ一致
等で、各エリアの組合せでの発せ確率の高い異物の統計解析を行う。
Examples of the plurality of conditions include
(1) Detection area fixed & detection system coincidence & detection size coincidence (2) Detection area is specified area (s) & detection system coincidence & detection size coincidence, etc. Perform analysis.

前記エリア毎異物情報テーブルは、どのような検出装置で、どのようなエリアに、どのように検出された、どのようなサイズの欠陥が多く発生しているのか、またその異物名は何かを示している。  In the foreign matter information table for each area, what kind of defect is detected, what kind of defect is detected in what area, what kind of defect, and the name of the foreign matter. Show.

異物発生状況集計DB14内の構成を図7で説明する。異物発生状況集計DB14は、異物検出結果登録テーブル41、座標毎異物検出情報テーブル42、エリア毎異物検出情報テーブル43、ライン停止条件テーブル45の4テーブルから構成される。  The configuration in the foreign matter occurrence status summary DB 14 will be described with reference to FIG. The foreign matter occurrence status totalization DB 14 includes four tables, a foreign matter detection result registration table 41, a foreign matter detection information table 42 for each coordinate, a foreign matter detection information table 43 for each area, and a line stop condition table 45.

異物発生状況集計DB14内の各テーブルの項目と説明を図8に示す。図8(a)の異物検出結果登録テーブルには、対象装置、検査した基板の識別コード、異物の検出エリア、異物検出座標(XとY)、異物検出モード、異物検出サイズが含まれる。図8(b)の座標毎異物検出情報テーブルには、対象装置、座標条件(XとY)、異物検出モード、異物検出サイズ、異物検出の集計結果、検出濃度条件(濃度とは検出した異物の撮像画像のアナログ値を例えば256段階のデジタル値に変換したもの)が含まれる。図8(c)のエリア毎異物検出情報テーブルには対象装置、エリア条件、異物検出モード、異物検出サイズ、異物検出の集計結果が含まれる。図8(d)のライン停止条件テーブルには、対象装置、異物検出モード、異物検出サイズ、推定異物名、ライン停止の条件が含まれる。FIG. 8 shows items and descriptions of each table in the foreign matter occurrence status totalization DB 14. The foreign object detection result registration table in FIG. 8A includes the target device, the inspected substrate identification code, the foreign object detection area, the foreign object detection coordinates (X and Y), the foreign object detection mode, and the foreign object detection size. The foreign substance detection information table for each coordinate in FIG. 8B includes the target device, the coordinate conditions (X and Y), the foreign substance detection mode, the foreign substance detection size, the total result of the foreign substance detection, and the detection density condition (the density is the detected foreign substance. The analog value of the captured image is converted into, for example, a 256-level digital value). The foreign matter detection information table for each area in FIG. 8C includes the target device, area conditions, foreign matter detection mode, foreign matter detection size, and foreign matter detection tabulation results. The line stop condition table in FIG. 8D includes the target device, the foreign object detection mode, the foreign object detection size, the estimated foreign object name, and the line stop condition.

異物発生状況集計DB14内のデータフローを図7を用いて説明する。先ず、図3の露光前異物検出装置12から得られた検出結果情報40を異物検出結果登録テーブル41へ登録する(K1)。異物検出結果登録テーブル41のデータが更新された後、異物検出結果登録テーブルの検出装置、検出座標X、検出座標Y、検出系、検出サイズ、検出濃度の複数の条件(X座標条件&Y座標条件&検出系条件&検出サイズ条件&検出濃度条件)で、一致した座標毎の異物検出情報テーブル42を更新する(K2)。  A data flow in the foreign matter occurrence status summary DB 14 will be described with reference to FIG. First, the detection result information 40 obtained from the pre-exposure foreign matter detection device 12 of FIG. 3 is registered in the foreign matter detection result registration table 41 (K1). After the data in the foreign object detection result registration table 41 is updated, a plurality of conditions (X coordinate condition & Y coordinate condition) of the detection device, detection coordinate X, detection coordinate Y, detection system, detection size, and detection density in the foreign object detection result registration table & Foreign substance detection information table 42 for each coordinate coordinate is updated under (& detection system condition & detection size condition & detection density condition) (K2).

前記複数の条件例として
(1)X座標固定&Y座標は一定範囲内&検出系一致&検出サイズ一致&検出濃度は一定範囲内。
(2)X座標は一定範囲内&Y座標固定&検出系一致&検出サイズ一致&検出濃度は一定範囲内。
(3)X座標固定&Y座標固定&検出系一致&検出サイズ一致&検出濃度は一定範囲内。(4)X座標は一定範囲内&Y座標は一定範囲内&検出系一致&検出サイズ一致&検出濃度は一定範囲内。
等であり、あらかじめ設定した条件すべてに対して集計をすることで、各条件毎に発生確率の高い異物の統計解析を行う。
Examples of the plurality of conditions are (1) X coordinate fixed & Y coordinate within a certain range & detection system coincidence & detection size coincidence & detection density within a certain range.
(2) X coordinate is within a certain range & Y coordinate fixed & detection system coincidence & detection size coincidence & detection density is within a certain range.
(3) X coordinate fixed & Y coordinate fixed & detection system coincidence & detection size coincidence & detection density is within a certain range. (4) X coordinate is within a certain range & Y coordinate is within a certain range & detection system coincidence & detection size coincidence & detection density is within a certain range.
By performing aggregation for all preset conditions, a statistical analysis of foreign matters having a high probability of occurrence is performed for each condition.

前記座標毎異物検出情報テーブルは、どのような座標に、どのように検出された、どのようなサイズで、どのような濃度の欠陥が多く発生しているのかを示している。  The foreign matter detection information table for each coordinate indicates at what coordinates, how detected, what size, and what kind of density defects.

次に、異物検出結果登録テーブル41のデータが更新された後、異物検出結果登録テーブルを検出装置、検出エリア、検出系、検出サイズを複数の条件(各項目の条件の組合せ)毎に集計し、エリア毎異物検出情報テーブル43を更新する(K3)。  Next, after the data in the foreign object detection result registration table 41 is updated, the foreign object detection result registration table is aggregated for each of a plurality of conditions (combinations of conditions of each item) for the detection device, detection area, detection system, and detection size. Then, the foreign matter detection information table 43 for each area is updated (K3).

前記複数の条件例としては、
(1)検出エリア固定&検出系一致&検出サイズ一致。
(2)検出エリアが指定エリア(複数可)&検出系一致&検出サイズ一致。
等であり、各エリアの組合せでの発生確率の高い異物の統計解析を行う。
Examples of the plurality of conditions include
(1) Detection area fixation & detection system coincidence & detection size coincidence.
(2) The detection area is the designated area (s) & detection system match & detection size match.
The statistical analysis of foreign matters having a high probability of occurrence in each area combination is performed.

前記エリア毎異物検出情報テーブルは、どのようなエリアに、どのように検出された、どのようなサイズの欠陥が多く発生しているのかを示している。  The foreign matter detection information table for each area indicates in which area, how detected, what size defect is frequently generated.

次に、異物分析情報管理DB16から後で説明する異物推定処理を行なう。Next, the foreign substance estimation process described later is performed from the foreign substance analysis information management DB 16.

異物の種類毎に予めライン停止条件44が設定され、設定されたライン停止条件はライン停止条件テーブル45に登録されている(K4)。  A line stop condition 44 is set in advance for each type of foreign matter, and the set line stop condition is registered in the line stop condition table 45 (K4).

図9は異物推定処理のフローを示した図である。異物推定処理は以下のフローで行われる。先ず、露光前異物検出装置12で異物検出を行い基板を払い出した後、基板の検出結果情報が最新の検出結果情報として異物検出結果登録テーブル41へ登録される(D1)。異物推定システム実行用パソコン15が異物検出結果登録テーブル41の最新の検出結果情報から異物の検出座標(X,Y)、検出系、検出サイズの情報を取得し(D2)、それを基に座標毎異物検出情報テーブル42より、検出座標を含んだ条件の組合せで、検出系、検出サイズの発生確率が高い組合せを取得し、また、座標毎異物情報テーブルへの問い合わせ条件即ち、座標毎の異物検出情報テーブルを作成した時の、例えばX座標固定&Y座標は一定範囲内&検出系一致&検出サイズ一致&検出濃度は一定範囲というような条件をここで決定する(D3)。更に最新の検出結果情報から異物の検出エリア、検出系、検出サイズの情報を取得し、それを基にエリア毎異物検出情報テーブル43より、検出エリアを含む条件で集計された結果の中で取得した検出系、検出サイズの発生確率が高い組み合わせを取得し、また、エリア毎異物情報テーブルへの問い合わせ条件、即ち、エリア毎の異物検出情報テーブルを作成時の、例えば検出エリア固定&検出系一致&検出サイズ一致というような条件をここで決定する(D4)。(D3)で決定した問い合わせ条件で、座標毎異物情報テーブル32へ発生率の高い異物情報を取得し(D5)、(D4)で決定した問い合わせ条件で、エリア毎異物情報テーブル33へ発生率の高い異物情報を取得する(D6)。(D5)及び(D6)で取得したそれぞれの異物名を推定異物情報として該推定異物情報を基に、推定異物のライン停止条件を取得する(D7)。FIG. 9 is a diagram showing a flow of foreign object estimation processing. The foreign object estimation process is performed according to the following flow. First, after the foreign matter is detected by the pre-exposure foreign matter detection device 12 and the substrate is paid out, the detection result information of the substrate is registered in the foreign matter detection result registration table 41 as the latest detection result information (D1). The foreign substance estimation system execution personal computer 15 acquires foreign substance detection coordinate (X, Y), detection system, and detection size information from the latest detection result information in the foreign substance detection result registration table 41 (D2), and coordinates based on it. From the foreign object detection information table 42, a combination of conditions including detection coordinates and a combination having a high detection system and detection size occurrence probability is acquired. In addition, an inquiry condition to the foreign object information table for each coordinate, that is, a foreign object for each coordinate. When the detection information table is created, for example, a condition that the X coordinate & Y coordinate is within a certain range & detection system coincidence & detection size coincidence & detection density is within a certain range is determined here (D3). Furthermore, information on the detection area, detection system, and detection size of the foreign matter is acquired from the latest detection result information, and based on the information, acquired from the results collected for the conditions including the detection area from the foreign matter detection information table 43 for each area. Detection system, a combination that has a high probability of occurrence of detection size, and the inquiry condition to the foreign matter information table for each area, that is, when the foreign matter detection information table for each area is created, for example, detection area fixation & detection system matching & Condition such as detection size coincidence is determined here (D4). Under the inquiry condition determined in (D3), foreign matter information having a high occurrence rate is acquired in the foreign matter information table 32 for each coordinate (D5), and in the inquiry condition determined in (D4), the occurrence rate is entered in the foreign matter information table 33 for each area. High foreign matter information is acquired (D6). Each of the foreign matter name obtained based on the estimated foreign substance information as an estimated foreign substance information (D5) and (D6), to obtain the line condition for stopping the estimated foreign object (D7).

前記推定異物情報は、1つの異物名が推定されるとは限らず、複数の異物名が推定される場合もある。従って、前記(D5)及び(D6)で取得した異物名が複数の場合には、複数の異物名に対応するライン停止条件を取得する。In the estimated foreign object information, one foreign object name is not necessarily estimated , and a plurality of foreign object names may be estimated . Therefore, when there are a plurality of foreign substance names acquired in (D5) and (D6), line stop conditions corresponding to the plurality of foreign substance names are acquired.

ライン停止条件は、異物の種類によって異なるもので、例えば
(1)5枚連続で異常判定
(2)周辺(任意に設定した周辺のエリア)の異物数がA(Aは任意の数)個以上ならば異常判定
(3)周辺座標(任意に設定した周辺の座標)にB(Bは任意の数)枚連続発生で異常判定の場合をライン停止条件とし、予め異物の種類毎にライン停止条件テーブル45に登録されている。
The line stop condition varies depending on the type of foreign matter. For example ,
(1) Anomaly determination for 5 consecutive images (2) Anomaly determination if the number of foreign objects in the periphery (arbitrarily set peripheral area) is A (A is an arbitrary number) or more (3) Peripheral coordinates (arbitrarily set The line stop condition is a case where abnormality is determined when B (B is an arbitrary number) continuous occurrences in peripheral coordinates), and is registered in the line stop condition table 45 in advance for each type of foreign matter.

ライン停止条件を取得後、推定異物情報と前記ライン停止条件とを比較して、ライン停止条件を満足している場合はライン停止と判断する。After acquiring the line stop condition, the estimated foreign matter information is compared with the line stop condition, and if the line stop condition is satisfied, it is determined that the line is stopped.

ライン停止と判断された場合は、警報情報を出力する(D8)。警報情報出力と同時に、異物推定システム実行用パソコン15のモニター上、及び検出装置に判定結果と判定理由を表示し、警告情報を出力によってオペレータの判断により露光機置へ停止命令を出力し装置を停止させか、露光前で基板をラインアウト、もしくはマスクを介さず露光した後に現像装置でレジストを剥離し、基板は再利用される。If it is determined that the line is stopped, alarm information is output (D8). Simultaneously with the alarm information output, the determination result and the determination reason are displayed on the monitor of the personal computer 15 for executing the foreign substance estimation system and on the detection device, and the stop information is output to the exposure apparatus by the operator's judgment by outputting the warning information. The substrate is lined out before exposure or exposed without passing through a mask, and then the resist is peeled off by a developing device, and the substrate is reused.

以上のように、本発明による異物推定システムによれば、転写用マスクの破損の原因となる異物が付着している基板を露光機へ投入することを防止できるため、転写用マスクの破損が回避され、更に異物による共通欠陥の発生を防げる。As described above, according to the foreign matter estimation system of the present invention, it is possible to prevent the transfer mask from being put into the exposure machine because the foreign matter that causes the damage to the transfer mask can be prevented. Furthermore, the occurrence of common defects due to foreign matters can be prevented.

カラーフィルタ基板の一例を断面で示した図。The figure which showed an example of the color filter board | substrate in the cross section. フォトリソグラフィー法の工程を示す概略ブロック図。The schematic block diagram which shows the process of the photolithographic method. 本発明の実施形態に係わる異物推定システムを用いてカラーフィルタ基板に付着している異物を推定する場合に用いられる概略構成装置と推定システムのフロー を説明する図。Foreign matter according to embodiments of the present inventionEstimatedUse the system to remove foreign matter adhering to the color filter substrate.EstimatedA schematic configuration device used in the case ofEstimatedSystem flow The theoryThe figure to light. (a)は露光機前検出装置の概略図。 (b)は検出座標(X,Y)を示す図。(A) is the schematic of a pre-exposure detector. (B) is a diagram showing detected coordinates (X, Y). 本発明の実施形態に係わる異物分析情報管理DB内の構成を示す図。The figure which shows the structure in the foreign material analysis information management DB concerning embodiment of this invention. 本発明の実施形態に係わる異物分析情報管理DB内の各テーブルの定義を示す図で (a)は分析結果登録テーブル (b)は座標毎異物情報テーブル (c)はエリア毎異物情報テーブルを示す。FIG. 5 is a diagram showing definitions of each table in the foreign matter analysis information management DB according to the embodiment of the present invention. (A) is an analysis result registration table, (b) is a foreign matter information table for each coordinate, and (c) is a foreign matter information table for each area. . 本発明の実施形態に係わる異物発生状況集計DB内の構成を示す図。The figure which shows the structure in the foreign material generation condition totalization DB concerning embodiment of this invention. 本発明の実施形態に係わる異物発生状況集計DB内の各テーブルの定義を示す図で (a)は異物検出結果登録テーブル (b)は座標毎異物検出情報テーブル (c)はエリア毎異物検出情報テーブル (d)はライン停止条件テーブルを示す。FIG. 5 is a diagram showing definitions of each table in the foreign matter occurrence status summary DB according to the embodiment of the present invention. (A) is a foreign matter detection result registration table, (b) is a foreign matter detection information table for each coordinate, and (c) is foreign matter detection information for each area. Table (d) shows a line stop condition table. 本発明の実施形態に係わる異物推定処理のフローを示す図。The figure which shows the flow of the foreign material estimation process concerning embodiment of this invention.

1・・・カラーフィルタ基板
2・・・ガラス基板
3・・・ブラックマトリックス(BM)
4・・・着色画素(RGB)
5・・・透明電極
6・・・フォトスペーサー/バーテイカルアライメント(PS/VA)
10・・・カラーフィルタ用基板
11・・・レジスト塗布機
12・・・露光前異物検出装置
13・・・露光機
14・・・異物発生状況集計DB
15・・・異物推定システム実行用パソコン
16・・・異物分析情報管理DB
17・・・分析装置
18・・・レジスト塗布された基板
19・・・露光前異物検査された基板
20・・・露光された基板
21・・・正反射照明光源
22・・・ラインセンサカメラ
23・・・搬送装置
24・・・画像処理装置
25・・・露光前異物検出装置用制御パソコン
26・・・基点(カラーフィルタ基板の或る場所)
30・・・分析結果情報
31・・・分析結果登録テーブル
32・・・座標毎異物情報テーブル
33・・・エリア毎異物情報テーブル
40・・・検出結果情報
41・・・異物検出結果登録テーブル
42・・・座標毎異物検出情報テーブル
43・・・エリア毎異物検出情報テーブル
44・・・ライン停止条件
45・・・ライン停止条件テーブル

DESCRIPTION OF SYMBOLS 1 ... Color filter substrate 2 ... Glass substrate 3 ... Black matrix (BM)
4 ... Colored pixels (RGB)
5 ... Transparent electrode 6 ... Photospacer / Vertical alignment (PS / VA)
DESCRIPTION OF SYMBOLS 10 ... Color filter substrate 11 ... Resist coating machine 12 ... Pre-exposure foreign matter detection device 13 ... Exposure machine 14 ... Foreign matter generation status totalization DB
15 ... PC for executing foreign matter estimation system 16 ... Foreign matter analysis information management DB
DESCRIPTION OF SYMBOLS 17 ... Analyzing device 18 ... Substrate coated with resist 19 ... Substrate subjected to foreign matter inspection before exposure 20 ... Exposed substrate 21 ... Regular reflection illumination light source 22 ... Line sensor camera 23 ... Conveying device 24 ... Image processing device 25 ... Control personal computer for foreign matter detection device 26 before exposure 26 ... Base point (a place on the color filter substrate)
30 ... Analysis result information 31 ... Analysis result registration table 32 ... Foreign matter information table for each coordinate 33 ... Foreign matter information table for each area 40 ... Detection result information 41 ... Foreign matter detection result registration table 42 ... Foreign matter detection information table for each coordinate 43 ... Foreign matter detection information table for each area 44 ... Line stop condition 45 ... Line stop condition table

Claims (3)

基板上に付着する異物を推定するシステムであって、
異物の検出位置(X,Y)大きさ検出して検出結果を出力する異物検出装置
過去に検出した異物を分析装置で分析した結果による異物名と前記異物の検出位置(X, Y)と検出サイズの情報を検出結果情報として蓄積する異物分析情報管理データベース を備え、
前記基板を露光する前に前記異物検出装置によって得た前記検出結果と前記異物分析情報 管理データベースと照合により推定異物情報を取得することを特徴とする異物推定システム。
A system for estimating foreign matter adhering to a substrate,
A foreign object detection device that detects the detection position (X, Y) and size of the foreign object and outputs a detection result ;
A foreign substance analysis information management database that accumulates information on the foreign substance name , the foreign substance detection position (X, Y), and the detection size as a result of analysis of foreign substances detected in the past as detection result information ;
Foreign matter estimation system, characterized in Rukoto Tokusu preparative estimated foreign substance information by collation with the detection result and the foreign substance analysis information management database obtained by the foreign substance detecting device prior to exposing the substrate.
記推定異物情報とライン停止条件とを比較して、ライン停止条件を満たした場合には警告情報を出力することを特徴とする請求項1記載の異物推定システム。Before Ki推 compares the constant foreign substance information and the line stop condition, the foreign matter estimation system according to claim 1, wherein outputting the alert information if satisfying line stop condition. 前記ライン停止条件は異物の種類毎に設定され、前記異物発生情報集計データベースに予め登録されていることを特徴とする請求項1または2記載の異物推定システム。
The foreign matter estimation system according to claim 1 or 2, wherein the line stop condition is set for each kind of foreign matter and is registered in advance in the foreign matter occurrence information aggregation database.
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